Staff Engineer (Business Analyst - Life Sciences)

Job Description

Company Description ????We're Nagarro . We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale ? across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Responsibilities Job Description 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. Requirements 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 Bachelor?s or master?s degree in computer science, Information Technology, or a related field.