About the Company
Data Scientist - Data and analytics - SENIOR
About the Role
Execute exploratory and confirmatory analyses on clinical trial and real-world datasets to inform clinical strategy and trial design.
Responsibilities
- Design and implement complex data analysis plans and translate analyses into clear, actionable recommendations for clinical and product stakeholders.
- Rapidly prototype Minimum Viable Products (MVPs) and analytical workflows using agile practices and DevOps principles to iterate with users.
- Define cohorts, design subpopulation analyses, and perform robust quality assurance on outcomes and derived datasets.
- Ensure clinical concepts are correctly represented and harmonized across data models (CDISC SDTM/ADaM, OMOP, HL7); contribute to mapping and transformation logic.
- Produce reproducible code and well-documented workflows in Python, R and SQL; collaborate with engineering to operationalize analyses on Databricks or similar platforms.
- Present findings and recommendations to stakeholders with clarity, tailoring communications to varying levels of data literacy.
Qualifications
- 3–5 years of hands-on experience working with clinical trial and/or real-world clinical datasets (EHRs, registries, claims).
Required Skills
- Strong applied experience in data analysis, and reporting using Python, R and SQL; production-ready, reproducible and documented code.
- Experience with Statistical Modeling, Machine Learning and Deep Learning.
- Familiarity with clinical data standards and transformations: CDISC (SDTM, ADaM), OMOP, and HL7.
- Experience with data standards mapping, CDISC implementations, or clinical trial design/operations.
- Experience with GitHub and Databricks or similar enterprise data platforms for scalable analytics and collaboration.
- Demonstrable experience defining cohorts, performing subpopulation/stratified analyses, and establishing QA checks for analytical outputs.
- Confortable working with imperfect, heterogeneous clinical data and pragmatic about delivering timely, high-quality insights.
Pay range and compensation package
[Pay range or salary or compensation]
Equal Opportunity Statement
[Include a statement on commitment to diversity and inclusivity.]
