Syneos Health, Inc.

Principal Statistical Programmer (US, CAD, UK only) Updated: Today Location: London, LND, United Kingdom Job ID: -OTHLOC-3526-2DR Job Responsibilities Must be located in US, CAD, UK with no sponsorship needs. Hiring at Sr level only for NA. Graph experience, plus experience writing specifications for ADaM datasets is required. Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and project team members to resolve discrepancies or findings. Keeps project team members informed of programming progress and issues requiring their attention. Follows applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up to date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects, sets goals based on management priorities, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements, anticipating and addressing potential programming issues, reflecting forethought and minimizing rework. Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for the opinions of others. Conduces effective internal meetings (appropriate in format, frequency, and attendance), distributes relevant information in advance, ensures minutes are promptly and accurately distributed, follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within the allotted timeframe. Acts as the lead statistical programmer, directing the programming activities of other programming personnel and monitoring progress on programming deliverables. Reviews project documentation such as the Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design, providing feedback that reflects forethought and reduces inefficiencies. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as the statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guidance to new associates. Transfers deliverables. Performs other work related duties as assigned. Minimal travel may be required. Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; or an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Extensive experience in ADaM specification writing and SAS Graph programming. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. EEO Statement Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Syneos Health, Inc. is seeking a Principal Statistical Programmer to develop statistical analyses for clinical trials in London. The role requires strong expertise in SAS, ADaM specification writing, and a proven ability to lead project teams. The ideal candidate will possess a scientific degree, extensive programming experience, and excellent communication skills. Responsibilities include programming, mentoring junior staff, and coordinating project deliverables. This position is ideal for someone looking to make a significant impact in clinical programming.

Syneos Health, Inc. is looking for a Sr Programmer-Sr Data Scientist in London to develop programs and provide statistical programming support, including managing data from real-world sources. This position requires advanced knowledge in SAS or R and extensive programming experience, preferably within a clinical trial setting. Collaboration with the Clinical Solutions team is essential for the support of drug development and real-world data analytics. The ideal candidate will possess a degree in a relevant scientific or statistical discipline and will have strong communication skills.

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Description Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R). The role involves developing programs and providing statistical programming support for statisticians, building analysis datasets, tables, and figures, and managing data from real world sources. The position requires collaboration with the Clinical Solutions team to apply expertise in drug development and real world data analytics. Job Responsibilities Senior Data Analyst Programming Skills: Highly proficient in SAS or R. Database Experience: Extensive familiarity with commercial claims and EHR databases, such as Optum, MarketScan, IQVIA PharMetrics, or HealthVerity. Cohort Studies: Ability to conduct longitudinal cohort studies, including creating study cohorts, baseline and outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. Assess quality of the data Protocol and SAP review and input Conduct analyses (programming of TFLs) Nice to have: Standard Data & Data Standards Observational Medical Outcomes (OMOP) Common Data Model (CDM) Open community of data standards Standards, structure and content of observational data Enables efficient analyses Data Standardization - OHDSI OHDSI (Observational Health Data Studies & Informatics) Tools OHDSI - Observational Health Data Sciences and Informatics DARWIN: DARWIN EU Initiative Presentation - OHDSI Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality of life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $80,600.00 - $175,700.00 Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity. Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.

Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Job Responsibilities Must be located in the United States, Canada or UK with no sponsorship needs to be considered for this position. OHDSI / DARWIN Analytics & Implementation Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions. Build, validate, and execute OMOP CDM cohorts and analyses using: ATLAS (cohort definition, characterization, exploration) ATHENA (vocabulary browsing, concept sets) ACHILLES (data characterization and quality insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows). Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns. Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements. Observational Study Design, Statistics, and AI/ML Awareness Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable). Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations. Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection. Reproducible, AI-Enabled, Production-Grade Analytics Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs). Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in: Code generation/refactoring Validation and QA checks Documentation and study write-ups Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible. GitHub-Centric Collaboration Use GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics. Required Qualifications Masters degree in Statistics or related field. Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES. Proficiency in common OHDSI community languages: SQL and R. Python is good too but most open-source tooling is in R. Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE. Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation. Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP). Experience with data quality assessment and data validation techniques. Proven ability to work in a fast-paced environment, delivering high-quality outputs with strong documentation and collaboration. Strong problem-solving ability and comfort working in cross-functional teams. Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders. Strong experience developing and maintaining documentation for RWE studies and insight generation. Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality. Experience supporting federated/network study execution patterns (where applicable). Benefits The benefits for this position may include a company car or car allowance, health benefits to include medical, dental, and vision, company match 401k, eligibility to participate in Employee Stock Purchase Plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Syneos Health, Inc. is looking for a Senior Programmer/Sr Data Scientist/Analyst to manage complex analytics projects in London. The ideal candidate will leverage OHDSI tools like ATLAS, ATHENA, and ACHILLES to develop data-driven solutions. Applicants should have a strong background in statistics and experience with healthcare data, along with the ability to work in collaborative environments. The position offers a competitive salary and various benefits.

Syneos Health, Inc. is seeking an R Statistical Programmer based in London, UK. The role involves developing custom programming code for generating summary tables and data listings, requiring SAS programming and ADaM experience. The successful candidate will manage programming activities and lead multiple projects while ensuring quality and standards compliance. Strong communication skills and knowledge of CDISC Standards are essential for this position.

R Statistical Programmer - Submission Experience Required (hiring in Armenia, UK, India, SA) Updated: Yesterday Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Responsible for developing custom programming code to generate summary tables, data listings, graphs, and derived datasets as specified in the statistical analysis plan and programming specifications. Must have ADAM programming and submission experience. Reporting to the lead statistical programmer and collaborating with biostatisticians and project teams. Job Responsibilities MUST BE LOCATED IN ONE OF THE FOLLOWING LOCATIONS WITH NO SPONSORSHIP NEEDS: Armenia, UK, India, South Africa (ADAM programming and submission experience Required) Uses R, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other programmers, biostatisticians, and other project team members to resolve discrepancies or any findings. Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). Maintains well organized, complete, and up to date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical or sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework. Conducts effective internal meetings (appropriate in format, frequency and attendance). Distributes relevant information in advance. Ensures minutes are promptly and accurately distributed. Follows action items through to completion, and maintains order and focus of meetings, working toward consensus. Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business. Accountable for on time delivery across concurrent programming deliverables. Negotiates programming timelines and provides risk mitigation plans for projects or programs, as needed. Proactively informs management of the status of deliverables and significant project or program issues, including planned resolutions. Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables. Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design. Provides feedback to the appropriate project team members which reflects forethought and reduces inefficiencies in programming activities. Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor. Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process. Maintains a good working knowledge of clinical drug development, industry standards, and electronic submission requirements; serves as a technical expert resource to other department members for complex programming questions. Works cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures (SOPs), guidelines, policies, and/or procedures. Contributes technical expertise to the development of programming tools and macros for standardization and efficiency. When serving as a technical subject matter expert for CDISC and other industry and regulatory requirements, provides guidance and training to the Biostatistics group and other departments on the appropriate use of CDISC Standards. When serving as a subject matter expert for CDISC and other industry and regulatory requirements, performs compliance reviews of project deliverables for CDISC deliverables including SDTM and ADaM specifications and datasets as well as any regulatory required documents. (i.e. DEFINE.XML) When serving as a subject matter expert for CDISC and other industry and regulatory requirements, actively participates in industry standards organizations and provides regular updates to the Biometrics Department on upcoming changes to those standards. Transfers deliverables. Performs other work related duties as assigned. Minimal travel may be required. Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment as demonstrated by the ability to lead multiple complex and/or global projects with teams of statistical programmers. Knowledge and experience in the use of CDISC Standards for regulatory agency requirements. Experience in submissions to a regulatory agency preferred. Experience in mentoring others in clinical trial process and CDISC Standards. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. Equal Opportunity Employment Further, nothing contained herein should be construed to create an employment contract. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Updated: Yesterday Location: London, England, United Kingdom Job ID:16448 An important role in helping to scale Syneos Health Communications' generative AI capabilities. Working centrally across advertising, PR and med comms teams this will involve a mix of technical ability, internal collaboration and advocacy, as well as client facing capability. This hands on role will be based in either Europe and US (two roles to be filled), with day to day access to internal and client teams, both virtually and face to face in order to participate in meetings, workshops and training as needed. Responsibilities Working with central Communications innovation function to drive and scale adoption of cutting edge generative AI tools and techniques across the Comms business. Helping to develop and manage existing and future generative AI tools, with an initial focus on retrieval augmented generation (RAG). Working with internal teams to help educate and support their journey to fully embracing generative AI. Participating in conversations with Comms clients about these new generative AI approaches, designing and delivering billable client projects. Experience and Skills Required Strong level of knowledge in generative AI and related technologies and techniques, demonstrable level of interest in the latest developments in this field. Good knowledge of Python, ability to write and edit code, ability to help identify, structure and prep data for input into RAG tools, as well as some front end developer experience. Background in computer science and or data science. Good communication capabilities in terms of being able to explain and educate internal teams around new technologies. Comfort with and some experience in working in client facing situations, in order to help identify, design and deliver gen AI related projects and pilots. Excellent problem solving skills and the ability to think analytically and strategically. Ability to work independently and manage multiple projects simultaneously. At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)

Syneos Health, Inc. is seeking an expert in generative AI to enhance our communications capabilities based in London. The role involves driving the adoption of innovative AI tools and supporting teams internally and externally. Ideal candidates will possess a strong knowledge of generative AI technologies, experience in Python, and a proven background in client-facing roles. Join us to be a part of a diverse team dedicated to transformative AI solutions.