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

Location: London, LND, United Kingdom

• Open to US and UK only - No sponsorship available for this role.
• This position is heavy on programming and data review for real world data analyses. Experience with commercial databases such as Optum, HealthVerity or PharmMetrics is important. Supports protocol and SAP review in support of the epidemiologist. ICD knowledge and experience are also important.
• Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for epidemiologists or for client or business use to address needs for sourcing, organising (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. Includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions to increase productivity.
• Impact and Contribution: Individual contributors with responsibility in a professional or technical discipline may manage two or fewer employees. May direct work of lower level professionals or manage processes and programs. Majority of time is spent contributing to design, implementation, or delivery of processes, programs, and policies.

• Data Experience: eHR, Claims Data (Optum, HealthVerity, IQVIA PharmMetrics). Nice to have: MarketScan, VA data, Medicaid, Medicare.
• Programming Language: SAS or R, must have SQL experience. Programmatic cohort derivation experience and index date definition.
• Modeling/Programming: GLM, Logistic, Cox, Propensity Score Matching, Incidence computation. Prepare data specs and develop strong understanding of study protocols.
• Review data and program outputs against protocol requirements, flag issues or questions, and escalating as appropriate. Ability to address messy data.
• 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 and scaffolding is ideal. AI/ML modeling and Github experience and versioning.
• Programming: 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.
• Develop programming specifications; ensure outputs meet quality standards and project requirements. Performs validation programming and works with other team members to resolve discrepancies. Keeps project documentation up to date. Manages scheduling and time constraints across multiple projects, sets goals, adapts to timeline changes.
• Participates in sponsor meetings, kickoff meetings, and mentoring. Performs other work-related duties as assigned. Minimal travel may be required.
• Qualifications: 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 other software in an RW environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English.

We offer a comprehensive benefits package including company car or car allowance, health benefits (medical, dental, vision), company match 401k, eligibility to participate in Employee Stock Purchase Plan, eligibility to earn commissions/bonus, and flexible paid time off (PTO) and sick time. Paid sick time eligibility may vary depending on location. We comply with all applicable federal, state, and municipal paid sick time requirements.

Tasks, duties, and responsibilities 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. The Company is committed to compliance with the Americans with Disabilities Act, including providing reasonable accommodations when appropriate to assist employees or applicants to perform the essential functions of the job. This statement fully complies with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive.