Medical Device Clinical Safety Scientist (m/f/d) (LSW) - BS
Real World Data (RWD) focus – The role requires solid expertise in epidemiology and strong programming capabilities with R/Python/SQL. It involves independent analysis of secondary data (claims, electronic health records, registries), development of research protocols and statistical analysis plans, and application of advanced quantitative techniques such as regression models and propensity score methods.
Key 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 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.
Qualifications
* University degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a related field; MSc or PhD preferred. Exceptionally experienced candidates without a Master's degree may also be considered.
* Minimum 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 programmes 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.
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
* Department: PVSD – Safety Data Retrieval & Reporting (TLSCA)
* Working Hours: Standard
* Access to Roche products / GVP‑relevant environment: Yes
About the Company
MANPOWER AG – Your career, our focus! We are part of the ManpowerGroup, the leading global company for staffing solutions, operating in over 75 countries. We support clients across various industries and are proud to work in Switzerland.
We are looking for a dedicated and skilled professional to join our team in Basel. If you are eager to contribute to medical device safety through data science, we encourage you to apply.
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