About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power the next generation of AI-driven scientific discovery.
This is a fully remote, flexible contract role built for experienced professionals who know how to navigate the complex intersection of data integrity, regulatory compliance, and scientific research.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Lead governance of biotech research and clinical trial data — ensuring accuracy, lineage, and auditability for scientific analysis and regulatory submissions
- Define and enforce data policies for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation, and external collaborations while protecting confidential and patient-related information
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and best practices
- Support the development of high-quality, trustworthy data pipelines that underpin cutting-edge AI model training in life sciences
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deep understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
- Skilled at bridging scientific, technical, and business teams — translating complex data requirements into practical, enforceable policies
- Naturally detail-oriented with a systematic approach to data quality, traceability, and auditability
- Self-directed and comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with regulatory submission standards such as FDA, EMA, or ICH guidelines
- Background in clinical data management, biostatistics, or research informatics
- Exposure to AI/ML data pipelines or life sciences technology platforms
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Make a direct contribution to AI systems that advance scientific discovery and improve human health
- Potential for ongoing work and contract extension as new projects launch