Pharmacoepidemiologist (m/f/d) - BS

The Ideal Candidate

This role has a strong focus on
Real World Data (RWD)
and requires solid expertise in epidemiological methodologies combined with strong programming capabilities (R/Python/SQL).

Key aspects of the role include the
independent analysis of secondary data sources
(claims, EHR, registries), development of research protocols and statistical analysis plans, and the application of advanced quantitative techniques such as regression models and propensity score methods.

The ideal profile collaborates closely with clinical safety partners, develops and documents R scripts for data analysis and reporting, and translates complex findings into clear visual representations, reports and dashboards.

General Information

• Start Date:
  asap
• Latest Start:
  February 2026
• Planned Duration:
  9-month maternity cover
• Extension:
  possible
• Location:
  Basel
• Workload:
  100%
• Home Office:
  2 days/week after 2–3 months onboarding
• Travel:
  none
• Team Size:
  6 people
• Template Used:
  CH_Real World Data Scientist_LSW_CHF_RCM_CO
• Department:
  PVSD – Safety Data Retrieval & Reporting (TLSCA)
• Working Hours:
  standard
• Access to Roche products / GVP-relevant environment:
  yes

Tasks & Responsibilities

• Conduct independent analyses of secondary data such as insurance claims, electronic health records, patient surveys and disease registries.
• Support the creation of research protocols and statistical analysis plans, including the recommendation and application of appropriate RWD methodologies (e.g., regression modelling, propensity score techniques).
• Design, build, validate, maintain and document efficient R programs for observational database research; assess new data sources and define study designs for safety-related observational studies.
• Represent the function in internal or external cross-functional collaborations, strategic planning groups or innovation initiatives related to methodological or technological advancements.
• Oversee the scientific quality of literature reviews, evidence summaries and application of best practices to epidemiological design and surveillance strategies.
• Serve as a strategic partner to Safety Data Scientists and clinical safety teams to ensure robust quantitative approaches are integrated into molecule safety strategies.

Must Haves

• University degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a related field; ideally MSc or PhD in Epidemiology with focus on data analysis. Exceptionally experienced candidates without a Master's degree may also be considered.
• At least 2 years of hands-on experience with RWD relational databases and conducting non-interventional RWD studies.
• Strong understanding of epidemiological study designs and ability to select appropriate pharmacoepidemiologic approaches.
• Experience analysing Clinical Trial data, Biomarkers, Claims datasets, Registries, Surveys and EHR sources.
• Familiarity with medical terminology and coding systems (MedDRA, SNOMED, ICD-10, CPT, HCPCS).
• Skilled in creating, testing and documenting R/Python/SQL programs for observational study workflows.
• Ability to convert data and analytical output into compelling visualisations, reports or interactive dashboards (R Shiny, RMarkdown, Python).
• Experience developing research protocols, statistical analysis plans and recommending suitable analytical methodologies.

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