Staff Engineer

3 days ago


Gurgaon, Haryana, India Nagarro Full time ₹ 12,00,000 - ₹ 36,00,000 per year
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 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 Description

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.

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.


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