Qureight Ltd in Cambridge is seeking a Data Engineer to build data infrastructure for machine learning workflows. This role involves preparing large imaging datasets and collaborating with Machine Learning Scientists to ensure high-quality data delivery. The ideal candidate will have strong Python programming skills, experience with data pipelines, and familiarity with tools like Docker and AWS. The position offers a comprehensive benefits package including medical insurance and annual leave.
22/05/2026
Full time
Qureight Ltd in Cambridge is seeking a Data Engineer to build data infrastructure for machine learning workflows. This role involves preparing large imaging datasets and collaborating with Machine Learning Scientists to ensure high-quality data delivery. The ideal candidate will have strong Python programming skills, experience with data pipelines, and familiarity with tools like Docker and AWS. The position offers a comprehensive benefits package including medical insurance and annual leave.
Qureight Ltd in Cambridge is seeking a Data Engineer to build data infrastructure for machine learning workflows. This role involves preparing large imaging datasets and collaborating with Machine Learning Scientists to ensure high-quality data delivery. The ideal candidate will have strong Python programming skills, experience with data pipelines, and familiarity with tools like Docker and AWS. The position offers a comprehensive benefits package including medical insurance and annual leave.
22/05/2026
Full time
Qureight Ltd in Cambridge is seeking a Data Engineer to build data infrastructure for machine learning workflows. This role involves preparing large imaging datasets and collaborating with Machine Learning Scientists to ensure high-quality data delivery. The ideal candidate will have strong Python programming skills, experience with data pipelines, and familiarity with tools like Docker and AWS. The position offers a comprehensive benefits package including medical insurance and annual leave.
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and advances development of foundation models and disease-specific AI models, we are building the data engineering capability required to support large-scale data preparation for machine learning. We are looking for a Data Engineer to focus on preparing and managing large imaging datasets (including CT scans and DICOM metadata) for use in machine learning workflows. This role sits within the Science function and works closely with Machine Learning Scientists as well as other Data Engineers to ensure that data is delivered in a consistent, high-quality, and efficient format ready for model development. It will focus on designing and implementing the next iteration of our data infrastructure to accelerate our integration of machine learning into clinical trials. What you will do Collaborate on designing and implementing new data infrastructure and pipelines preparing data for large-scale ML workflows Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Work with DICOM data to feed into foundation model and disease-specific imaging model development Collaborate closely with Machine Learning Scientists, DevOps Engineers, and other Data Engineers to create a tight feedback loop and ensure the end-to-end process is effective and efficient Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Scale pipelines to handle millions of scans - ingesting the imaging data, transforming it, filtering and structuring ready for foundation model development. What we need Proven experience as a Data Engineer in complex, data-rich environments Strong programming skills in Python Experience building and maintaining production ML data pipelines, including orchestration tools such as Dagster and cloud infrastructure on AWS Experience with Docker and Kubernetes based infrastructure, Experience working with large datasets Understanding of data preprocessing and quality control for machine learning Strong collaboration skills with machine learning or technical teams Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Large-scale datasets or foundation model workflows Deployment tooling (Helm and familiarity with Gitops tooling such as Flux and Kustomize) Data versioning and reproducibility frameworks Database design and data modelling Working in regulated or GxP or ISO 13485 environments Experience with ML experiment tracking or metadata management (MLFlow) Benefits A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
22/05/2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and advances development of foundation models and disease-specific AI models, we are building the data engineering capability required to support large-scale data preparation for machine learning. We are looking for a Data Engineer to focus on preparing and managing large imaging datasets (including CT scans and DICOM metadata) for use in machine learning workflows. This role sits within the Science function and works closely with Machine Learning Scientists as well as other Data Engineers to ensure that data is delivered in a consistent, high-quality, and efficient format ready for model development. It will focus on designing and implementing the next iteration of our data infrastructure to accelerate our integration of machine learning into clinical trials. What you will do Collaborate on designing and implementing new data infrastructure and pipelines preparing data for large-scale ML workflows Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Work with DICOM data to feed into foundation model and disease-specific imaging model development Collaborate closely with Machine Learning Scientists, DevOps Engineers, and other Data Engineers to create a tight feedback loop and ensure the end-to-end process is effective and efficient Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Scale pipelines to handle millions of scans - ingesting the imaging data, transforming it, filtering and structuring ready for foundation model development. What we need Proven experience as a Data Engineer in complex, data-rich environments Strong programming skills in Python Experience building and maintaining production ML data pipelines, including orchestration tools such as Dagster and cloud infrastructure on AWS Experience with Docker and Kubernetes based infrastructure, Experience working with large datasets Understanding of data preprocessing and quality control for machine learning Strong collaboration skills with machine learning or technical teams Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Large-scale datasets or foundation model workflows Deployment tooling (Helm and familiarity with Gitops tooling such as Flux and Kustomize) Data versioning and reproducibility frameworks Database design and data modelling Working in regulated or GxP or ISO 13485 environments Experience with ML experiment tracking or metadata management (MLFlow) Benefits A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and advances development of foundation models and disease-specific AI models, we are building the data engineering capability required to support large-scale data preparation for machine learning. We are looking for a Data Engineer to focus on preparing and managing large imaging datasets (including CT scans and DICOM metadata) for use in machine learning workflows. This role sits within the Science function and works closely with Machine Learning Scientists as well as other Data Engineers to ensure that data is delivered in a consistent, high-quality, and efficient format ready for model development. It will focus on designing and implementing the next iteration of our data infrastructure to accelerate our integration of machine learning into clinical trials. What you will do Collaborate on designing and implementing new data infrastructure and pipelines preparing data for large-scale ML workflows Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Work with DICOM data to feed into foundation model and disease-specific imaging model development Collaborate closely with Machine Learning Scientists, DevOps Engineers, and other Data Engineers to create a tight feedback loop and ensure the end-to-end process is effective and efficient Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Scale pipelines to handle millions of scans - ingesting the imaging data, transforming it, filtering and structuring ready for foundation model development. What we need Proven experience as a Data Engineer in complex, data-rich environments Strong programming skills in Python Experience building and maintaining production ML data pipelines, including orchestration tools such as Dagster and cloud infrastructure on AWS Experience with Docker and Kubernetes based infrastructure, Experience working with large datasets Understanding of data preprocessing and quality control for machine learning Strong collaboration skills with machine learning or technical teams Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Large-scale datasets or foundation model workflows Deployment tooling (Helm and familiarity with Gitops tooling such as Flux and Kustomize) Data versioning and reproducibility frameworks Database design and data modelling Working in regulated or GxP or ISO 13485 environments Experience with ML experiment tracking or metadata management (MLFlow) Benefits A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
22/05/2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and advances development of foundation models and disease-specific AI models, we are building the data engineering capability required to support large-scale data preparation for machine learning. We are looking for a Data Engineer to focus on preparing and managing large imaging datasets (including CT scans and DICOM metadata) for use in machine learning workflows. This role sits within the Science function and works closely with Machine Learning Scientists as well as other Data Engineers to ensure that data is delivered in a consistent, high-quality, and efficient format ready for model development. It will focus on designing and implementing the next iteration of our data infrastructure to accelerate our integration of machine learning into clinical trials. What you will do Collaborate on designing and implementing new data infrastructure and pipelines preparing data for large-scale ML workflows Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Work with DICOM data to feed into foundation model and disease-specific imaging model development Collaborate closely with Machine Learning Scientists, DevOps Engineers, and other Data Engineers to create a tight feedback loop and ensure the end-to-end process is effective and efficient Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Scale pipelines to handle millions of scans - ingesting the imaging data, transforming it, filtering and structuring ready for foundation model development. What we need Proven experience as a Data Engineer in complex, data-rich environments Strong programming skills in Python Experience building and maintaining production ML data pipelines, including orchestration tools such as Dagster and cloud infrastructure on AWS Experience with Docker and Kubernetes based infrastructure, Experience working with large datasets Understanding of data preprocessing and quality control for machine learning Strong collaboration skills with machine learning or technical teams Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Large-scale datasets or foundation model workflows Deployment tooling (Helm and familiarity with Gitops tooling such as Flux and Kustomize) Data versioning and reproducibility frameworks Database design and data modelling Working in regulated or GxP or ISO 13485 environments Experience with ML experiment tracking or metadata management (MLFlow) Benefits A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Qureight Ltd in Cambridge is seeking a Data Engineer to design and implement data processing plans for clinical trials. The role involves collaborating with multidisciplinary teams and ensuring robust, scalable data pipelines that meet regulatory compliance. Ideal candidates will have experience in data engineering, strong Python skills, and familiarity with cloud infrastructure. The company offers a comprehensive benefits package and fosters a diverse work environment.
22/05/2026
Full time
Qureight Ltd in Cambridge is seeking a Data Engineer to design and implement data processing plans for clinical trials. The role involves collaborating with multidisciplinary teams and ensuring robust, scalable data pipelines that meet regulatory compliance. Ideal candidates will have experience in data engineering, strong Python skills, and familiarity with cloud infrastructure. The company offers a comprehensive benefits package and fosters a diverse work environment.
Qureight Ltd in Cambridge is seeking a Data Engineer to design and implement data processing plans for clinical trials. The role involves collaborating with multidisciplinary teams and ensuring robust, scalable data pipelines that meet regulatory compliance. Ideal candidates will have experience in data engineering, strong Python skills, and familiarity with cloud infrastructure. The company offers a comprehensive benefits package and fosters a diverse work environment.
22/05/2026
Full time
Qureight Ltd in Cambridge is seeking a Data Engineer to design and implement data processing plans for clinical trials. The role involves collaborating with multidisciplinary teams and ensuring robust, scalable data pipelines that meet regulatory compliance. Ideal candidates will have experience in data engineering, strong Python skills, and familiarity with cloud infrastructure. The company offers a comprehensive benefits package and fosters a diverse work environment.
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight expands we're running image analytics for an increasing number of clinical trials in multiple disease areas. We've developed data pipeline frameworks for processing the data received across these trials and handling data needs that are specific to each trial. We're now looking to expand in this area to further automate the process and scale to even more trials. We're hiring for a Data Engineer to take on implementing trial specific data pipelines, whilst always exploring how we can improve the system and processes within the clinical trial regulatory framework. The role will work closely with our Clinical Operations team and so be exposed to the details of the trials. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design. If you are interested in the interface between data infrastructure, software engineering, and medical applications - particularly in clinical trials - then this is for you. You can read more about one of our Senior Software Engineers here. What you will do Design and implement data processing plans in clinical trials, through design, testing, deployment, and maintenance to specific trial protocol requirements Collaborate with Clinical Operations, Infrastructure teams, Data Scientists, and Data Managers to pull together effective data tooling Turn your hand to multiple different datasets and transfer methods for multimodal healthcare data, integrating HRCT imaging and clinical metadata Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Own project data delivery and help shape automation of regulatory compliance. What we need Proven experience as a Data Engineer in complex, data rich environments Strong programming skills in Python Experience building and maintaining production data pipelines within regulated environments Experience enforcing data quality requirements Experience with automation/orchestration tools such as Dagster, containerisation, and cloud infrastructure on AWS Strong collaboration skills and attention to detail, particularly through understanding the underlying context of the data Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Deploying in Kubernetes, particularly using gitops tools such as Flux Data versioning and reproducibility frameworks Working in regulated or GxP or ISO 13485 environments, or with clinical trial data What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 19th May 2026. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
22/05/2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight expands we're running image analytics for an increasing number of clinical trials in multiple disease areas. We've developed data pipeline frameworks for processing the data received across these trials and handling data needs that are specific to each trial. We're now looking to expand in this area to further automate the process and scale to even more trials. We're hiring for a Data Engineer to take on implementing trial specific data pipelines, whilst always exploring how we can improve the system and processes within the clinical trial regulatory framework. The role will work closely with our Clinical Operations team and so be exposed to the details of the trials. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design. If you are interested in the interface between data infrastructure, software engineering, and medical applications - particularly in clinical trials - then this is for you. You can read more about one of our Senior Software Engineers here. What you will do Design and implement data processing plans in clinical trials, through design, testing, deployment, and maintenance to specific trial protocol requirements Collaborate with Clinical Operations, Infrastructure teams, Data Scientists, and Data Managers to pull together effective data tooling Turn your hand to multiple different datasets and transfer methods for multimodal healthcare data, integrating HRCT imaging and clinical metadata Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Own project data delivery and help shape automation of regulatory compliance. What we need Proven experience as a Data Engineer in complex, data rich environments Strong programming skills in Python Experience building and maintaining production data pipelines within regulated environments Experience enforcing data quality requirements Experience with automation/orchestration tools such as Dagster, containerisation, and cloud infrastructure on AWS Strong collaboration skills and attention to detail, particularly through understanding the underlying context of the data Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Deploying in Kubernetes, particularly using gitops tools such as Flux Data versioning and reproducibility frameworks Working in regulated or GxP or ISO 13485 environments, or with clinical trial data What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 19th May 2026. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight expands we're running image analytics for an increasing number of clinical trials in multiple disease areas. We've developed data pipeline frameworks for processing the data received across these trials and handling data needs that are specific to each trial. We're now looking to expand in this area to further automate the process and scale to even more trials. We're hiring for a Data Engineer to take on implementing trial specific data pipelines, whilst always exploring how we can improve the system and processes within the clinical trial regulatory framework. The role will work closely with our Clinical Operations team and so be exposed to the details of the trials. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design. If you are interested in the interface between data infrastructure, software engineering, and medical applications - particularly in clinical trials - then this is for you. You can read more about one of our Senior Software Engineers here. What you will do Design and implement data processing plans in clinical trials, through design, testing, deployment, and maintenance to specific trial protocol requirements Collaborate with Clinical Operations, Infrastructure teams, Data Scientists, and Data Managers to pull together effective data tooling Turn your hand to multiple different datasets and transfer methods for multimodal healthcare data, integrating HRCT imaging and clinical metadata Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Own project data delivery and help shape automation of regulatory compliance. What we need Proven experience as a Data Engineer in complex, data rich environments Strong programming skills in Python Experience building and maintaining production data pipelines within regulated environments Experience enforcing data quality requirements Experience with automation/orchestration tools such as Dagster, containerisation, and cloud infrastructure on AWS Strong collaboration skills and attention to detail, particularly through understanding the underlying context of the data Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Deploying in Kubernetes, particularly using gitops tools such as Flux Data versioning and reproducibility frameworks Working in regulated or GxP or ISO 13485 environments, or with clinical trial data What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 19th May 2026. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
22/05/2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight expands we're running image analytics for an increasing number of clinical trials in multiple disease areas. We've developed data pipeline frameworks for processing the data received across these trials and handling data needs that are specific to each trial. We're now looking to expand in this area to further automate the process and scale to even more trials. We're hiring for a Data Engineer to take on implementing trial specific data pipelines, whilst always exploring how we can improve the system and processes within the clinical trial regulatory framework. The role will work closely with our Clinical Operations team and so be exposed to the details of the trials. The focus will always be to ensure efficient, accurate data pipelines that minimise errors and keep data quality embedded by design. If you are interested in the interface between data infrastructure, software engineering, and medical applications - particularly in clinical trials - then this is for you. You can read more about one of our Senior Software Engineers here. What you will do Design and implement data processing plans in clinical trials, through design, testing, deployment, and maintenance to specific trial protocol requirements Collaborate with Clinical Operations, Infrastructure teams, Data Scientists, and Data Managers to pull together effective data tooling Turn your hand to multiple different datasets and transfer methods for multimodal healthcare data, integrating HRCT imaging and clinical metadata Care about data quality, and ensuring the pipelines you build are robust, scalable, and maintainable Ensure that our data processes have quality and compliance designed in from the start to make reproducibility, lineage tracking, and data quality painless Own project data delivery and help shape automation of regulatory compliance. What we need Proven experience as a Data Engineer in complex, data rich environments Strong programming skills in Python Experience building and maintaining production data pipelines within regulated environments Experience enforcing data quality requirements Experience with automation/orchestration tools such as Dagster, containerisation, and cloud infrastructure on AWS Strong collaboration skills and attention to detail, particularly through understanding the underlying context of the data Even better if you have experience of Medical imaging data such as CT, MRI, or DICOM Deploying in Kubernetes, particularly using gitops tools such as Flux Data versioning and reproducibility frameworks Working in regulated or GxP or ISO 13485 environments, or with clinical trial data What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme 25 days annual leave, plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, devops, data science, machine learning, quality assurance, regulatory affairs, and clinical operations How to apply Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 19th May 2026. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.