Research Data Coordinator

What You’ll Do
- Ensure accurate, complete, timely collection, delivery, and tracking of analytical information from translational research/CRO/collaborating labs
- Review clinical protocols and develop/review external lab study-related documents (e.g., Data Transfer Specifications)
- Execute data management activities for external lab data for clinical studies
- Coordinate/prioritize/track/complete project management activities
- Manage vendor relationships; receive accurate data; perform QC of vendor deliverables; communicate discrepancies
- Develop research information management plans (data capture, flow, queries, manual checks, data listings) to ensure data integrity
- Perform comprehensive data review with project/study teams; resolve data issues with data/computational/biostatistical/study scientists
- Generate data queries to sites/vendors as needed; make interim data available to research personnel
- Develop data management/visualization tools with engineers (gather requirements, user testing)
- Support AI-ready/analytics-ready datasets via data standardization, harmonization, annotation, QC
- Improve data structures/ontologies/metadata frameworks/interoperability
- Contribute to data governance for AI, advanced analytics, and digital transformation across R&D

Basic Qualifications
- 3–5 years scientific data handling
- Bachelor’s degree in life science, computer science, or related field
- Strong understanding of data formats and QC practices
- Document organization, tracking data deliveries/downstream locations/error handling
- Strong written/verbal communication; independent and team work; critical thinking/analytical judgment
- Team experience with clinical personnel and analytics/programming roles
- AWS CLI; S3 or similar object storage
- Ability to integrate/verify data programmatically using R and/or Python
- Experience implementing agentic AI for data ingestion/QC, particularly Claude Code

Preferred Qualifications
- FDA/ICH data management knowledge
- Case report form design, central labs, databases, query resolution, data validation
- Windows proficiency; managing large volumes of research data
- JIRA; raw life-sciences data familiarity (genomics/imaging)
- AI/ML/advanced analytics/digital transformation experience in healthcare/pharma
- CDISC/FAIR/controlled vocabularies/ontologies/research data standards
- GxP, HIPAA, GDPR, or regulated environments

Compensation Overview (Remote, US)
- $128,890–$156,179 (FTE). Additional incentive cash/stock may be available (eligibility-based).

Benefits (explicitly listed)
- Health coverage (medical/pharmacy/dental/vision); wellbeing support; 401(k) and protection benefits (e.g., disability/life insurance).

Work-life
- Paid time off options including flexible/unlimited time off for US exempt employees and vacation/holiday options for other listed groups.