Sr RW Programmer​/Sr Data Scientist​/Analyst - Data; US and UK

Overview

Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data (US and UK Only)

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team applies a drug development mindset to understand customer needs and shape solutions. Whether you join a Functional Service Provider partnership or a Full-Service environment, you will collaborate with problem solvers to help customers achieve their goals.

• Open to US and UK only – No sponsorship available for this role.
• This position is very heavy programming and data review for RW data analyses. Experience with commercial databases such as Optum, Health Verity or Pharm Metrics will be important. Also support for protocol and SAP review in support of the epidemiologist is critical. ICD knowledge and experience will also be important.
• Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for the epidemiologists 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.
• Impact and contribution:
  Individual contributors with responsibility in a professional or technical discipline, 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 design, implementation or delivery of processes, programs, and policies.
• Minimum requirements include data experience across eHR and claims data (Optum, Health Verity, IQVIA Pharm Metrics; Market Scan, VA data, Medicaid, Medicare is nice to have).
• Programming language: SAS or R; SQL experience required. Programmatic cohort derivation experience; index date definition.
• Modeling/programming skills: GLM, Logistic, Cox, Propensity Score Matching, Incidence computation.
• Prepare data specifications and develop a strong understanding of study protocols. Review data and program outputs against protocol requirements and escalate issues as appropriate.
• Ability to address messy data, identify issues and possible solutions, and understand follow-up period and impact. Use of ICD or other related clinical terminology. OMOP CDM understanding (transform healthcare data into a common format).
• Use of AI/ML for LLM and workflow is ideal. Nice to have: AI/ML modeling;
  Git Hub experience and versioning.
• Uses R, SAS, Python or other software to develop custom programming code to generate summary tables, data listings, graphs and derived RW datasets as specified in the statistical analysis plan and programming specifications.
• Development of programming specifications and ensuring outputs meet quality standards and project requirements. Perform validation programming and resolve discrepancies with team members. Follow applicable SOPs and regulatory guidelines (e.g., ICH). Maintain organized project documentation and ensure inspection readiness.
• Manage scheduling and time constraints across multiple projects, develop dataset specifications, anticipate issues, and set clear variable definitions for peer review and sponsor requirements.
• Prepare for internal meetings, contribute ideas, distribute minutes, track action items, and support cross-functional collaboration. Provide input on project documentation such as SAPs, programming specifications, and database structures. Participate in sponsor meetings as required. Mentor programming personnel and transfer deliverables. Travel may be minimal.

• Undergraduate or master’s degree, preferably in a scientific or statistical discipline such as biostatistics, mathematics or epidemiology.
• Extensive programming experience in SAS, R, Python or…