Staff Engineer (Business Analyst - Life Sciences)

• Drive requirements gathering, discussions, and workshops with internal and external stakeholders across global time zones.
• Coordinate planning and delivery activities for technology projects within the Life Sciences domain.
• Support implementation and configuration of Clinical Data Management and Analytics products (EDC, Non-EDC systems, CDR, MDR, CTMS, eTMF, CDMS, statistical computing tools).
• Work closely with cross-functional teams to ensure successful end-to-end Clinical Data Repository implementations, especially within Biometrics.
• Communicate project updates, issues, and analytical findings clearly to internal teams and client stakeholders.
• Contribute to the development of GxP-compliant technology solutions for large enterprise programs.
• Utilize knowledge of clinical data standards (CDISC including SDTM, ADaM) during project execution.
• Leverage programming skills (R, Python, SAS) to support data analysis, validation, or automation tasks where required.

• Bachelor s degree in Pharma, Bioinformatics, Medicine, or related disciplines.
• Master s degree in Business Analytics, Engineering, or Science (preferred).
• 6-8 years of experience as a Business Analyst or Data Analyst within the Life Sciences domain (mandatory).

Experience with at least one Clinical Data Management or Analytics product implementation, such as:

• EDC: Rave, Veeva, InForm
• Non-EDC: ePRO, LAB systems
• Other systems: Clinical Data Repository, Metadata Repository, statistical computing platforms (Sycamore, Nurocor, SAS), CTMS, eTMF, CDMS.

• Experience delivering or supporting end-to-end Clinical Data Repository implementation projects (preferred).
• Experience building or delivering GxP-compliant solutions for large enterprise programs (preferred).
• Exposure to clinical data standards such as CDISC SDTM and ADaM (preferred).
• Familiarity with programming languages like R, Python, and SAS (preferred).

Qualifications