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
- Bachelors degree in Pharma Bioinformatics Medicine or related disciplines.
- Masters degree in Business Analytics Engineering or Science (preferred).
- 68 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 :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
ResponsibilitiesDrive 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 Manage...
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
- Bachelors degree in Pharma Bioinformatics Medicine or related disciplines.
- Masters degree in Business Analytics Engineering or Science (preferred).
- 68 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 :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
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