Research Data Coordinator
Bristol Myers Squibb
July 02, 2026
Remote
United States
Clinical Research and Development
What You’ll Do:
- Coordinate, curate, validate, and maintain high-quality, reproducible scientific datasets across the R&D lifecycle.
- Ensure accurate, complete, and timely collection/delivery/tracking of analytical information from translational research, CROs, or collaborating labs.
- Review clinical protocols and develop/review external lab documents (e.g., Data Transfer Specifications).
- Execute data management for external lab data in clinical studies.
- Coordinate project management activities; manage vendor relationships, validate deliverables, and report discrepancies.
- Build research information management plans; perform data reviews and generate data queries to sites/vendors.
- Collaborate with data/computational scientists, biostatisticians, and study scientists to resolve data issues.
- Support AI-ready/analytics-ready datasets via standardization, harmonization, annotation, and QC; improve structures, ontologies, metadata, and interoperability.
Basic Qualifications:
- 3–5 years scientific data handling.
- Bachelor’s in life science, computer science, or related.
- Strong data format/QC knowledge; document organization and tracking; excellent communication and analytical judgment.
- Experience working cross-functionally with clinical and scientific teams.
- AWS CLI; working in S3/object storage.
- Familiar with integrating/verifying data via R and/or Python.
- Experience implementing agentic AI for ingestion/QC (particularly Claude Code).
Preferred Qualifications:
- FDA/ICH data management knowledge; CDISC/FAIR/controlled vocabularies/ontologies.
- Case report form, central lab, database/programming, query resolution, data validation.
- JIRA/project management; GxP/HIPAA/GDPR; life sciences raw data exposure; AI/ML/digital transformation.
Compensation & Benefits (US Remote): US $128,890–$156,179; health, wellbeing, 401(k), disability/life/insurance; paid time off.
Application instruction:
- If intrigued but not perfect, apply anyway.
- Coordinate, curate, validate, and maintain high-quality, reproducible scientific datasets across the R&D lifecycle.
- Ensure accurate, complete, and timely collection/delivery/tracking of analytical information from translational research, CROs, or collaborating labs.
- Review clinical protocols and develop/review external lab documents (e.g., Data Transfer Specifications).
- Execute data management for external lab data in clinical studies.
- Coordinate project management activities; manage vendor relationships, validate deliverables, and report discrepancies.
- Build research information management plans; perform data reviews and generate data queries to sites/vendors.
- Collaborate with data/computational scientists, biostatisticians, and study scientists to resolve data issues.
- Support AI-ready/analytics-ready datasets via standardization, harmonization, annotation, and QC; improve structures, ontologies, metadata, and interoperability.
Basic Qualifications:
- 3–5 years scientific data handling.
- Bachelor’s in life science, computer science, or related.
- Strong data format/QC knowledge; document organization and tracking; excellent communication and analytical judgment.
- Experience working cross-functionally with clinical and scientific teams.
- AWS CLI; working in S3/object storage.
- Familiar with integrating/verifying data via R and/or Python.
- Experience implementing agentic AI for ingestion/QC (particularly Claude Code).
Preferred Qualifications:
- FDA/ICH data management knowledge; CDISC/FAIR/controlled vocabularies/ontologies.
- Case report form, central lab, database/programming, query resolution, data validation.
- JIRA/project management; GxP/HIPAA/GDPR; life sciences raw data exposure; AI/ML/digital transformation.
Compensation & Benefits (US Remote): US $128,890–$156,179; health, wellbeing, 401(k), disability/life/insurance; paid time off.
Application instruction:
- If intrigued but not perfect, apply anyway.