About the Role
What if your expertise in biotech data governance could directly shape how AI understands and accelerates scientific discovery? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power the next generation of AI-driven life sciences breakthroughs.
This is a fully remote, flexible contract role for an experienced professional who knows how to navigate complex regulated data environments — and who wants their work to matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
- Define and enforce data policies spanning classification, access controls, security, and metadata management across research, clinical, regulatory, and partner teams
- Enable secure, governed data access that supports advanced analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
- Identify gaps in existing data governance frameworks and implement improvements that align with regulatory expectations and scientific best practices
- Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and quality controls
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
- Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, 21 CFR Part 11)
- A skilled collaborator who can bring together scientists, engineers, compliance officers, and business teams around shared data standards
- Detail-oriented, systematic, and committed to data quality and integrity
- Comfortable working independently in an asynchronous, remote environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data pipelines
- Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles
- Experience with clinical data management systems or regulatory submission data packages
- Background in bioinformatics, health informatics, or a related technical discipline
Why Join Us
- Work at the intersection of cutting-edge AI and life sciences research — your governance work directly enables better science
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with meaningful, high-impact work that goes beyond routine contracting
- Exposure to advanced AI models and the data pipelines that make them trustworthy and effective
- Collaborate with world-leading AI research teams and life sciences organizations
- Potential for ongoing engagement and contract extension as projects grow