12-Month Data Science Industrial Student Placement Locations: Macclesfield (UK) Salary: Competitive Essential Candidate Requirements: At AstraZeneca every one of our employees makes a difference to patient lives every day. We work together across global boundaries to make an impact and find answers to challenges. We do this with the upmost integrity even in the most difficult situations because we are committed to doing the right thing. Pharmaceutical Technology and Development (PT&D) are the bridge that turns brilliant science into actual medicines that help millions of people. We work across the entire value chain, designing and delivering active ingredients, formulations and devices required to support new medicines - from supplies for use in early toxicology studies and clinical trials to developing the technology to ensure drugs can be scaled up for commercial manufacture. Data Science is a growing discipline helping AstraZeneca deliver medicines in novel and efficient ways. We are looking to recruit for 12 Month Industrial Placements in Data Science at our Macclesfield site. You will be responsible for delivering technical solutions to support scientists to effectively manage, mine and exploit data using digital technologies. You will be working across a range of disciplines including chemistry, engineering, analytical and several specialist areas so clear communication and presentation skills are key to the role. Coding is an essential element of the role and so proficiency in languages such as python, R, Matlab etc is desirable. How to Apply If you are interested in applying for this role please click and apply online providing answers to all of the questions. Closing Date for Applications: October 16th, 2022 with interviews expected to take place early November 2022.
24/09/2022
Full time
12-Month Data Science Industrial Student Placement Locations: Macclesfield (UK) Salary: Competitive Essential Candidate Requirements: At AstraZeneca every one of our employees makes a difference to patient lives every day. We work together across global boundaries to make an impact and find answers to challenges. We do this with the upmost integrity even in the most difficult situations because we are committed to doing the right thing. Pharmaceutical Technology and Development (PT&D) are the bridge that turns brilliant science into actual medicines that help millions of people. We work across the entire value chain, designing and delivering active ingredients, formulations and devices required to support new medicines - from supplies for use in early toxicology studies and clinical trials to developing the technology to ensure drugs can be scaled up for commercial manufacture. Data Science is a growing discipline helping AstraZeneca deliver medicines in novel and efficient ways. We are looking to recruit for 12 Month Industrial Placements in Data Science at our Macclesfield site. You will be responsible for delivering technical solutions to support scientists to effectively manage, mine and exploit data using digital technologies. You will be working across a range of disciplines including chemistry, engineering, analytical and several specialist areas so clear communication and presentation skills are key to the role. Coding is an essential element of the role and so proficiency in languages such as python, R, Matlab etc is desirable. How to Apply If you are interested in applying for this role please click and apply online providing answers to all of the questions. Closing Date for Applications: October 16th, 2022 with interviews expected to take place early November 2022.
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
24/09/2022
Full time
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
Data Engineer Luton Close date: 7th Oct 2022 Competitive salary and benefits Build a long-term career by unlocking opportunities for lifelong learning Build unrivalled capabilities in a place that promotes learning agility and offers development opportunities. We never stand still so you'll have the chance to constantly grow your abilities, skills, and knowledge. Are you looking to progress your career in Engineering, Data and AI? If so, come and join our team where you will play a pivotal role in this exciting period of development! Our Enterprise Data and AI Services department at AstraZeneca is looking for a skilled and enthusiastic Data Engineer who is keen to join a growing data privacy engineering services team and further develop their technical abilities. ABOUT THE ROLE As a Data Engineer in the Data Protection Team, you will join a diverse team of talented engineers responsible for the implementation of data engineering services that connect to data sources, perform minimisation on data sets and govern the data masking rules used. This role is a great opportunity for software engineers looking into moving to data engineering. In your role, you will design, develop, implement, and maintain custom software to empower end-users and other Data Engineers to perform automated data masking of personal data at scale. You'll learn and apply your knowledge of data protection and of our technology stack to protect sensitive data, making our services widely available across the Enterprise. You are a competent software developer that can look at existing code and take it to the next level, as well as develop from the ground up. You will own, maintain, and improve an existing self-service data masking web application (Developed in NodeJS/React) and your time will be split between coding and implementing and running Data Engineering pipelines in our AWS cloud environment. You will: Work in a successful DevOps environment Collaborate with colleagues across IT and within Business Data teams to understand specific project requirements and provide tailored, complete solutions that fit their needs Engage with vendors to ensure you are extracting the best value from the technology Take part in Agile ceremonies to estimate requirements and deliver tailored, complete solutions in a way that is operationally stable and sustainable. In our Platforms, if you build or implement it you run it. Coordinate organisational change activities to ensure no loss of service Commit to continuing your technical development Follow standard methodologies and best practices when deploying specific code or configuration, reducing rework, continually looking for optimisation Advocate and advance modern, agile development practices and evangelize great engineering culture Highlight the skills and capabilities needed In this role you will be considered an aspiring top-tier engineer, who loves to understand your customers, collaborates cross-culturally with global teams, and will be trusted to produce solutions, fix technical issues, and continually challenge the status quo. Essential skills: You must be familiar and can demonstrate solid hands-on skills with: Software Development and CI/CD pipelines (NodeJS/React/Python/Git/Jenkins) AWS Cloud services: IAM, S3, Lambda, EMR, DynamoDB, RDS, EC2 or Azure/GCP equivalents REST APIs, ETL pipelines Structured file ingestion and conversion (CSV, JSON, XML, Parquet) SQL and NoSQL Databases You should apply if: You have significant Data or Software Engineering experience - particularly if you have worked with privacy enhancing technologies (e.g. Privitar) You have delivered novel engineering services, prioritising technologies and worked collaboratively with other engineering teams You are technically competent and curious, with a passion to explore, fail and learn iteratively. You can demonstrate partner management skills - balancing business needs, governance requirements and operational delivery You can demonstrate a solid understanding of key processes and techniques in the engineering delivery cycle (including Agile and DevOps), Machine Learning, Containers, APIs, Microservices and Data Pipelines. You understand the importance of service and sustainability and are comfortable to have trade-off conversations around technical debt and service models. You have previous experience working in a matrix structure You appreciate the importance and principles of Data Management: Governance, Architecture, Modelling and Design, Integration and Operations, Reference and Master Data (RDM, MDM), Data Warehousing and BI. ABOUT OUR TEAM The Data Engineering Services Team develops, deploys, and manages a wide range of services to departments across the Enterprise. We work with colleagues from Science who are busy discovering new molecular entities; from Procurement who are sourcing materials from all over the world; from Finance who are making important budgeting decisions; From HR who are supporting, growing and retaining our talent. All these activities generate a vast and growing amount of data - including personal data. We recognise both the potential in our data and the need to use personal data responsibly.Key to success is our ability to minimise and de-identify personal data where needed using advanced technology and best practices. In the team we are passionate about using industry best practices, ensuring accurate code coverage, participating in peer code reviews, and supporting and troubleshooting existing tools. A desire to learn and develop is part of our culture, where we work in an agile and fast-paced environment. ABOUT ASTRAZENECA AstraZeneca is a world-renowned Pharmaceuticals company that develops and manufactures therapeutic treatments to prevent, cure or alleviate human diseases. We are serious about leveraging data and emerging technologies to push the boundaries of science even further, and continually improve every step along our complex value chain. Joining our inclusive and diverse team would offer you a great opportunity to take your career to the next level and beyond.
24/09/2022
Full time
Data Engineer Luton Close date: 7th Oct 2022 Competitive salary and benefits Build a long-term career by unlocking opportunities for lifelong learning Build unrivalled capabilities in a place that promotes learning agility and offers development opportunities. We never stand still so you'll have the chance to constantly grow your abilities, skills, and knowledge. Are you looking to progress your career in Engineering, Data and AI? If so, come and join our team where you will play a pivotal role in this exciting period of development! Our Enterprise Data and AI Services department at AstraZeneca is looking for a skilled and enthusiastic Data Engineer who is keen to join a growing data privacy engineering services team and further develop their technical abilities. ABOUT THE ROLE As a Data Engineer in the Data Protection Team, you will join a diverse team of talented engineers responsible for the implementation of data engineering services that connect to data sources, perform minimisation on data sets and govern the data masking rules used. This role is a great opportunity for software engineers looking into moving to data engineering. In your role, you will design, develop, implement, and maintain custom software to empower end-users and other Data Engineers to perform automated data masking of personal data at scale. You'll learn and apply your knowledge of data protection and of our technology stack to protect sensitive data, making our services widely available across the Enterprise. You are a competent software developer that can look at existing code and take it to the next level, as well as develop from the ground up. You will own, maintain, and improve an existing self-service data masking web application (Developed in NodeJS/React) and your time will be split between coding and implementing and running Data Engineering pipelines in our AWS cloud environment. You will: Work in a successful DevOps environment Collaborate with colleagues across IT and within Business Data teams to understand specific project requirements and provide tailored, complete solutions that fit their needs Engage with vendors to ensure you are extracting the best value from the technology Take part in Agile ceremonies to estimate requirements and deliver tailored, complete solutions in a way that is operationally stable and sustainable. In our Platforms, if you build or implement it you run it. Coordinate organisational change activities to ensure no loss of service Commit to continuing your technical development Follow standard methodologies and best practices when deploying specific code or configuration, reducing rework, continually looking for optimisation Advocate and advance modern, agile development practices and evangelize great engineering culture Highlight the skills and capabilities needed In this role you will be considered an aspiring top-tier engineer, who loves to understand your customers, collaborates cross-culturally with global teams, and will be trusted to produce solutions, fix technical issues, and continually challenge the status quo. Essential skills: You must be familiar and can demonstrate solid hands-on skills with: Software Development and CI/CD pipelines (NodeJS/React/Python/Git/Jenkins) AWS Cloud services: IAM, S3, Lambda, EMR, DynamoDB, RDS, EC2 or Azure/GCP equivalents REST APIs, ETL pipelines Structured file ingestion and conversion (CSV, JSON, XML, Parquet) SQL and NoSQL Databases You should apply if: You have significant Data or Software Engineering experience - particularly if you have worked with privacy enhancing technologies (e.g. Privitar) You have delivered novel engineering services, prioritising technologies and worked collaboratively with other engineering teams You are technically competent and curious, with a passion to explore, fail and learn iteratively. You can demonstrate partner management skills - balancing business needs, governance requirements and operational delivery You can demonstrate a solid understanding of key processes and techniques in the engineering delivery cycle (including Agile and DevOps), Machine Learning, Containers, APIs, Microservices and Data Pipelines. You understand the importance of service and sustainability and are comfortable to have trade-off conversations around technical debt and service models. You have previous experience working in a matrix structure You appreciate the importance and principles of Data Management: Governance, Architecture, Modelling and Design, Integration and Operations, Reference and Master Data (RDM, MDM), Data Warehousing and BI. ABOUT OUR TEAM The Data Engineering Services Team develops, deploys, and manages a wide range of services to departments across the Enterprise. We work with colleagues from Science who are busy discovering new molecular entities; from Procurement who are sourcing materials from all over the world; from Finance who are making important budgeting decisions; From HR who are supporting, growing and retaining our talent. All these activities generate a vast and growing amount of data - including personal data. We recognise both the potential in our data and the need to use personal data responsibly.Key to success is our ability to minimise and de-identify personal data where needed using advanced technology and best practices. In the team we are passionate about using industry best practices, ensuring accurate code coverage, participating in peer code reviews, and supporting and troubleshooting existing tools. A desire to learn and develop is part of our culture, where we work in an agile and fast-paced environment. ABOUT ASTRAZENECA AstraZeneca is a world-renowned Pharmaceuticals company that develops and manufactures therapeutic treatments to prevent, cure or alleviate human diseases. We are serious about leveraging data and emerging technologies to push the boundaries of science even further, and continually improve every step along our complex value chain. Joining our inclusive and diverse team would offer you a great opportunity to take your career to the next level and beyond.
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
23/09/2022
Full time
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Quality Specialist, Supply Chain Master Data Salary & Benefits Competitive Break new ground and leave a collective legacy Have the opportunity to play a role in evolving Supply Chain, reimagining how we do things and creating a collective legacy. Unrivalled leaders in this space, we always do it the right way - with a sustainable lifecycle management. There's no better time to take ownership and reshape the entire ecosystem, from technological advances through to developing more ethical approaches to our work At AstraZeneca we work together across global boundaries to make an impact and find answers to challenges. We do this with the upmost integrity even in the most difficult situations because we are committed to doing the right thing. In order to deliver our supply chain master data vision which supports the successful delivery of the 2025 strategy, the Supply Chain Master Data Team are recruiting a data quality specialist. You will have experience in data quality management and data governance, and a proven track record working in a complex global data environment. You will play a key role in the supply chain master data strategy, by supporting and creating data quality processes and procedures to ensure adherence to data governance standards and policies. You will contribute & champion multiple master data topics and will work closely with the process networks to drive high quality data and process performance. You will be part of a global team, collaborating with global & regional stakeholders and data networks in shaping and delivering the supply chain master data strategies. What you'll do Support the DQ Manager in creating and maintaining a robust data quality operating model and framework. Develop and support the creation of DQ Dashboards in Power BI. Provide data quality trend analysis and KPI reporting. Support tactical and strategic remediation strategies as needed in BAU and projects to build trust in data. Facilitate continuous data quality monitoring and escalation of defects. Provide analysis and profiling services to build the knowledge base around data and to support the creation and maintenance of data standards and processes. Contribute to coaching in data quality and delivering DQ training to process and data owners. Confirming, defining, enforcing data quality standards within projects and in BAU. Be an advocate of data quality and actively engage in the Tier process to drive DQ issue management and facilitate improvements in the quality of data. Work across AZ to help the wider data governance and data quality community to drive best practice in all aspects of data quality, including the methodology for creating rules and designing DQ dashboard to an agreed common standard. Support the DQ Manager in creating and maintaining a robust data quality operating model and framework. Develop and support the creation of DQ Dashboards in Power BI. Provide data quality trend analysis and KPI reporting. Support tactical and strategic remediation strategies as needed in BAU and projects to build trust in data. Facilitate continuous data quality monitoring and escalation of defects. Provide analysis and profiling services to build the knowledge base around data and to support the creation and maintenance of data standards and processes. Contribute to coaching in data quality and delivering DQ training to process and data owners. Confirming, defining, enforcing data quality standards within projects and in BAU. Be an advocate of data quality and actively engage in the Tier process to drive DQ issue management and facilitate improvements in the quality of data. Work across AZ to help the wider data governance and data quality community to drive best practice in all aspects of data quality, including the methodology for creating rules and designing DQ dashboard to an agreed common standard. Essential requirements Demonstrated experience & subject matter expertise within data management disciplines, including data governance. Experience of operating processes for a global enterprise with significant geographical and functional footprint. Experience in standing up and managing a data quality function within your area of expertise. Strong SQL skills to support data profiling, data cleansing and creating data quality rules. Experience of at least one standard data quality tool. For example Ataccama, Talend or SAS Viya. Extensive Knowledge of using a visualizing tool, such as Power BI for monitoring and reporting data quality issues. Demonstrate strong communication skills with the ability to influence others to achieve objectives, even when this may mean local change / sacrifices. Proven change management, interpersonal, assertiveness and negotiation skillsExperience of Business/IT partnering for the implementation of Data Quality related solutions.Experience of working within a Supply Chain function. Desirable Skills Understanding of AZ Operations. Experience of business transformation driven by process improvement. Good understanding of current AZ supply chain data processes and systems. Experience of working in global change projects. Experience in using SAP. Working with lean methodologies and approaches. Be empowered to be innovative and creative where difference is valued At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and fuel your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development. So, what's next... Complete your application before the below closing date. This role is open from (Day, Month, Year) and we encourage your application no later than (Day, Month, Year) Where can I find out more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
23/09/2022
Full time
Data Quality Specialist, Supply Chain Master Data Salary & Benefits Competitive Break new ground and leave a collective legacy Have the opportunity to play a role in evolving Supply Chain, reimagining how we do things and creating a collective legacy. Unrivalled leaders in this space, we always do it the right way - with a sustainable lifecycle management. There's no better time to take ownership and reshape the entire ecosystem, from technological advances through to developing more ethical approaches to our work At AstraZeneca we work together across global boundaries to make an impact and find answers to challenges. We do this with the upmost integrity even in the most difficult situations because we are committed to doing the right thing. In order to deliver our supply chain master data vision which supports the successful delivery of the 2025 strategy, the Supply Chain Master Data Team are recruiting a data quality specialist. You will have experience in data quality management and data governance, and a proven track record working in a complex global data environment. You will play a key role in the supply chain master data strategy, by supporting and creating data quality processes and procedures to ensure adherence to data governance standards and policies. You will contribute & champion multiple master data topics and will work closely with the process networks to drive high quality data and process performance. You will be part of a global team, collaborating with global & regional stakeholders and data networks in shaping and delivering the supply chain master data strategies. What you'll do Support the DQ Manager in creating and maintaining a robust data quality operating model and framework. Develop and support the creation of DQ Dashboards in Power BI. Provide data quality trend analysis and KPI reporting. Support tactical and strategic remediation strategies as needed in BAU and projects to build trust in data. Facilitate continuous data quality monitoring and escalation of defects. Provide analysis and profiling services to build the knowledge base around data and to support the creation and maintenance of data standards and processes. Contribute to coaching in data quality and delivering DQ training to process and data owners. Confirming, defining, enforcing data quality standards within projects and in BAU. Be an advocate of data quality and actively engage in the Tier process to drive DQ issue management and facilitate improvements in the quality of data. Work across AZ to help the wider data governance and data quality community to drive best practice in all aspects of data quality, including the methodology for creating rules and designing DQ dashboard to an agreed common standard. Support the DQ Manager in creating and maintaining a robust data quality operating model and framework. Develop and support the creation of DQ Dashboards in Power BI. Provide data quality trend analysis and KPI reporting. Support tactical and strategic remediation strategies as needed in BAU and projects to build trust in data. Facilitate continuous data quality monitoring and escalation of defects. Provide analysis and profiling services to build the knowledge base around data and to support the creation and maintenance of data standards and processes. Contribute to coaching in data quality and delivering DQ training to process and data owners. Confirming, defining, enforcing data quality standards within projects and in BAU. Be an advocate of data quality and actively engage in the Tier process to drive DQ issue management and facilitate improvements in the quality of data. Work across AZ to help the wider data governance and data quality community to drive best practice in all aspects of data quality, including the methodology for creating rules and designing DQ dashboard to an agreed common standard. Essential requirements Demonstrated experience & subject matter expertise within data management disciplines, including data governance. Experience of operating processes for a global enterprise with significant geographical and functional footprint. Experience in standing up and managing a data quality function within your area of expertise. Strong SQL skills to support data profiling, data cleansing and creating data quality rules. Experience of at least one standard data quality tool. For example Ataccama, Talend or SAS Viya. Extensive Knowledge of using a visualizing tool, such as Power BI for monitoring and reporting data quality issues. Demonstrate strong communication skills with the ability to influence others to achieve objectives, even when this may mean local change / sacrifices. Proven change management, interpersonal, assertiveness and negotiation skillsExperience of Business/IT partnering for the implementation of Data Quality related solutions.Experience of working within a Supply Chain function. Desirable Skills Understanding of AZ Operations. Experience of business transformation driven by process improvement. Good understanding of current AZ supply chain data processes and systems. Experience of working in global change projects. Experience in using SAP. Working with lean methodologies and approaches. Be empowered to be innovative and creative where difference is valued At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and fuel your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development. So, what's next... Complete your application before the below closing date. This role is open from (Day, Month, Year) and we encourage your application no later than (Day, Month, Year) Where can I find out more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram
Global Data Protection Officer Location: Cambridge, UK / Macclesfield, UK / Gothenburg, SWE Competitive salary and benefits package The Global Data Protection Officer functions at an advanced level of complexity spanning data processing activities across the enterprise. The role reports to the Head of Operations and Innovation for Global Compliance and has a dotted-line into the Deputy Chief Compliance Officer to ensure direct access to both Senior Management and the Audit Committee of the Board of Directors with respect to data privacy matters. The GDPO serves as the Data Protection Officer for AZ in jurisdictions in which a DPO is a central role to privacy governance, including, but not limited to the EU, UK, Brazil, etc. The GDPO will be the central point of contact for data subjects and supervisory authorities. In addition to EU/UK data protection officer responsibilities, this role is also responsible for global horizon scanning and providing advice and oversight based upon strong subject matter expertise and guidance across the elements of an effective compliance program with respect to data privacy. The GDPO works closely with the rest of the Data Privacy Office and broader compliance organisation to enhance privacy risk management and compliance while embedding and fostering a privacy mindset across AZ. Typical Accountabilities Company representative for data subjects and supervisory authorities: Point of contact for supervisory authorities related to AZ data processing activities and data subjects Maintain required licenses, registrations and other local regulatory requirements to enable compliant processing and transfer of personal data within the AZ Group and among AZ partners/vendors (e.g., Binding Corporate Rules) Oversight of responses to subject access requests Consult with members of the Global Privacy Office when required on data protection impact assessments and serve as contact to authorities as required on data protection impact assessments and other privacy impact assessments Reporting of significant and/or serious breaches (whether requiring external notice or otherwise), including advice on remediation measure, related oversight and trend analysis All Deputy Data Privacy Officers will have a dotted-line to the GDPO to ensure he/she is able to effectively communicate with data subjects and cooperate with supervisory authorities as needed Partner with the Global Assurance team within Global Compliance, Internal Audit and independent auditing resources (where necessary) to monitor compliance with applicable data protection and privacy laws and broader data privacy requirements and provide assurance on effectiveness of our global compliance program with respect to data privacy risk Advisor (in consultation with Global Privacy Officer Leadership, legal, outside counsel and local resources as necessary) for members of the Privacy Office and other Global Compliance personnel in their support of the business and evolution of the global privacy program with respect to: Company policy and implementation Data protection impact assessments Ongoing monitoring and enhancing risk assurance capabilities Evolving expectations of supervisory authorities Remediation and continuous improvement activities Unique, novel or high risk business activities or projects as needed As the leader of AZ Privacy Risk and Assurance function, manage horizon scanning for key jurisdictions globally related to regulatory developments, proposed legislations, expectations of supervisory authorities and best practices (in consultation with legal, external counsel and local resources as needed) Collaborating with the members of the Privacy Office, Data Privacy Forums/DDPOs and broader Global Compliance committee, as well as key stakeholders from IT, HR, and the business, to fulfil his/her responsibilities and to foster a global privacy mindset across AZ. Education, Qualifications, Skills and Experience Essential: Legal degree or qualifications with extensive experience in privacy law and/or Data Privacy Programs. In-depth knowledge of GDPR, EU/EEA local data protection legislation, UK Privacy Act and UK GDPR, familiarity with US, China and other local data privacy regulations Significant experience and knowledge of privacy program elements and best practices/tools Substantial experience working in a multi-national and multi-regional organization in a highly regulated sector Familiarity with data processing operations in the Global Bio- pharmaceutical sector Significant experience in pharmaceuticals or a related industry; corporate governance, health care regulations, laws and standards Excellent analytical, written and oral communications skills Strong collaborative, partnering, and interpersonal skills, ability to influence across different levels and sectors of the organisation Strong experience speaking to and working with senior leaders, including Board members and executive team members Demonstrated ability to work independently High ethical standards, trustworthy, operating with absolute discretion Demonstrated ability to remain independent and objective while collaborating effectively with stakeholders Desirable In-depth knowledge of US federal and state privacy regulations and China privacy/cyber-security regulations IAPP certifications (e.g., CIPP/US, CIPT, CIPM) CIPP certification High degree of digital literacy, familiarity with use of AI, machine learning and automation in across different business applications (e.g., marketing, business services and processes, research and drug development activities) Familiarity with computer security frameworks and technologies Experience interacting with regulatory authorities, auditors, inspectors, and other third external assurance stakeholders Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. So, what's next? Are you already imagining yourself joining our team? Good, because we can't wait to hear from you! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram r Job open date: 09/09/2022 Job closing date: 30/09/2022
23/09/2022
Full time
Global Data Protection Officer Location: Cambridge, UK / Macclesfield, UK / Gothenburg, SWE Competitive salary and benefits package The Global Data Protection Officer functions at an advanced level of complexity spanning data processing activities across the enterprise. The role reports to the Head of Operations and Innovation for Global Compliance and has a dotted-line into the Deputy Chief Compliance Officer to ensure direct access to both Senior Management and the Audit Committee of the Board of Directors with respect to data privacy matters. The GDPO serves as the Data Protection Officer for AZ in jurisdictions in which a DPO is a central role to privacy governance, including, but not limited to the EU, UK, Brazil, etc. The GDPO will be the central point of contact for data subjects and supervisory authorities. In addition to EU/UK data protection officer responsibilities, this role is also responsible for global horizon scanning and providing advice and oversight based upon strong subject matter expertise and guidance across the elements of an effective compliance program with respect to data privacy. The GDPO works closely with the rest of the Data Privacy Office and broader compliance organisation to enhance privacy risk management and compliance while embedding and fostering a privacy mindset across AZ. Typical Accountabilities Company representative for data subjects and supervisory authorities: Point of contact for supervisory authorities related to AZ data processing activities and data subjects Maintain required licenses, registrations and other local regulatory requirements to enable compliant processing and transfer of personal data within the AZ Group and among AZ partners/vendors (e.g., Binding Corporate Rules) Oversight of responses to subject access requests Consult with members of the Global Privacy Office when required on data protection impact assessments and serve as contact to authorities as required on data protection impact assessments and other privacy impact assessments Reporting of significant and/or serious breaches (whether requiring external notice or otherwise), including advice on remediation measure, related oversight and trend analysis All Deputy Data Privacy Officers will have a dotted-line to the GDPO to ensure he/she is able to effectively communicate with data subjects and cooperate with supervisory authorities as needed Partner with the Global Assurance team within Global Compliance, Internal Audit and independent auditing resources (where necessary) to monitor compliance with applicable data protection and privacy laws and broader data privacy requirements and provide assurance on effectiveness of our global compliance program with respect to data privacy risk Advisor (in consultation with Global Privacy Officer Leadership, legal, outside counsel and local resources as necessary) for members of the Privacy Office and other Global Compliance personnel in their support of the business and evolution of the global privacy program with respect to: Company policy and implementation Data protection impact assessments Ongoing monitoring and enhancing risk assurance capabilities Evolving expectations of supervisory authorities Remediation and continuous improvement activities Unique, novel or high risk business activities or projects as needed As the leader of AZ Privacy Risk and Assurance function, manage horizon scanning for key jurisdictions globally related to regulatory developments, proposed legislations, expectations of supervisory authorities and best practices (in consultation with legal, external counsel and local resources as needed) Collaborating with the members of the Privacy Office, Data Privacy Forums/DDPOs and broader Global Compliance committee, as well as key stakeholders from IT, HR, and the business, to fulfil his/her responsibilities and to foster a global privacy mindset across AZ. Education, Qualifications, Skills and Experience Essential: Legal degree or qualifications with extensive experience in privacy law and/or Data Privacy Programs. In-depth knowledge of GDPR, EU/EEA local data protection legislation, UK Privacy Act and UK GDPR, familiarity with US, China and other local data privacy regulations Significant experience and knowledge of privacy program elements and best practices/tools Substantial experience working in a multi-national and multi-regional organization in a highly regulated sector Familiarity with data processing operations in the Global Bio- pharmaceutical sector Significant experience in pharmaceuticals or a related industry; corporate governance, health care regulations, laws and standards Excellent analytical, written and oral communications skills Strong collaborative, partnering, and interpersonal skills, ability to influence across different levels and sectors of the organisation Strong experience speaking to and working with senior leaders, including Board members and executive team members Demonstrated ability to work independently High ethical standards, trustworthy, operating with absolute discretion Demonstrated ability to remain independent and objective while collaborating effectively with stakeholders Desirable In-depth knowledge of US federal and state privacy regulations and China privacy/cyber-security regulations IAPP certifications (e.g., CIPP/US, CIPT, CIPM) CIPP certification High degree of digital literacy, familiarity with use of AI, machine learning and automation in across different business applications (e.g., marketing, business services and processes, research and drug development activities) Familiarity with computer security frameworks and technologies Experience interacting with regulatory authorities, auditors, inspectors, and other third external assurance stakeholders Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. So, what's next? Are you already imagining yourself joining our team? Good, because we can't wait to hear from you! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram r Job open date: 09/09/2022 Job closing date: 30/09/2022
Senior Statistical Programmer - Oncology Location: Cambridge or Macclesfield, UK Competitive salary and benefits Senior Statistical Programmer, Oncology Do you have passion for Programming? Do you consider yourself an SME? Would you like to apply your skills to impact drug development process and regulatory interactions in a company that follows the science and turns ideas into life-enhancing medicines? Then AstraZeneca might be the one for you! AstraZeneca is a global, science-led, patient-centric biopharmaceutical company passionate about the discovery, development, and commercialization of prescription medicines. Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. With multiple indications and high-quality molecules in all stages of our innovative pipeline, we keep pushing forward to conquer cancer through data, innovation and evidence-based decisions. Role You will be working in the Oncology Biometrics Programming department providing statistical programming support and/or leading activities related to the analysis and reporting process at project/study level for the delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options that you can pursue for your development and progression. Crucial for the role To succeed in this role, you need to be a hardworking individual with an understanding of technical and regulatory requirements related to programming within the pharmaceutical or healthcare industry. You should have the ability to multitask, collaborate as part of a team that operates globally and have an appetite for solving problems. Bachelor's or Master's (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field Ability to pay attention to detail and lead/work on concurrent studies and activities Excellent verbal and written communication skills and ability to influence team members Extensive SAS programming expertise to a high level within clinical drug development Ability to work independently on the assigned programming tasks Extensive knowledge of technical and regulatory requirements Good knowledge of CDISC standards and industry processes Experience leading studies or activities in clinical trials Next Steps - Apply today! To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them. Where can I find out more? LinkedIn Facebook Instagram Biometrics dedicated webpage
23/09/2022
Full time
Senior Statistical Programmer - Oncology Location: Cambridge or Macclesfield, UK Competitive salary and benefits Senior Statistical Programmer, Oncology Do you have passion for Programming? Do you consider yourself an SME? Would you like to apply your skills to impact drug development process and regulatory interactions in a company that follows the science and turns ideas into life-enhancing medicines? Then AstraZeneca might be the one for you! AstraZeneca is a global, science-led, patient-centric biopharmaceutical company passionate about the discovery, development, and commercialization of prescription medicines. Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. With multiple indications and high-quality molecules in all stages of our innovative pipeline, we keep pushing forward to conquer cancer through data, innovation and evidence-based decisions. Role You will be working in the Oncology Biometrics Programming department providing statistical programming support and/or leading activities related to the analysis and reporting process at project/study level for the delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options that you can pursue for your development and progression. Crucial for the role To succeed in this role, you need to be a hardworking individual with an understanding of technical and regulatory requirements related to programming within the pharmaceutical or healthcare industry. You should have the ability to multitask, collaborate as part of a team that operates globally and have an appetite for solving problems. Bachelor's or Master's (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field Ability to pay attention to detail and lead/work on concurrent studies and activities Excellent verbal and written communication skills and ability to influence team members Extensive SAS programming expertise to a high level within clinical drug development Ability to work independently on the assigned programming tasks Extensive knowledge of technical and regulatory requirements Good knowledge of CDISC standards and industry processes Experience leading studies or activities in clinical trials Next Steps - Apply today! To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them. Where can I find out more? LinkedIn Facebook Instagram Biometrics dedicated webpage
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