Role Description

REQUIREMENTS: Experience : 6+ Years 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). RESPONSIBILITIES: 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 or master’s degree in computer science, Information Technology, or a related field.