Staff Engineer
3 days ago
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 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
Job DescriptionResponsibilities
- 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).
Bachelor's or master's degree in computer science, Information Technology, or a related field.
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