Staff Engineer (Business Analyst - Clinical Trials)

AI overview

Drive requirements gathering, support Clinical Data Management product implementations and collaborate with cross-functional teams for enterprise-level solutions in the Life Sciences domain.

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.

👋🏼 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 scale — across all devices and digital mediums, and our people exist everywhere in the world (19,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

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