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 in biotech, life sciences, or regulated data environments. If you've spent your career ensuring data integrity and compliance in high-stakes research settings, this is your opportunity to apply that expertise at the frontier of AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Govern biotech research and clinical trial data to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation workflows, and external collaborations — while rigorously protecting confidential and patient-related information
- Identify gaps in data quality, compliance posture, and governance frameworks and recommend practical, actionable improvements
- Work cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and operational workflows
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, compliance requirements, and regulatory expectations for research and clinical trial data
- Skilled at translating complex data governance requirements into clear policies and processes that diverse teams can actually follow
- A natural collaborator — comfortable working across scientific, technical, and business functions to drive alignment
- Detail-oriented, thorough, and consistent in your approach to data quality and compliance
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data pipelines
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, HIPAA, or GDPR as applied to clinical and research data
- Background in data architecture, metadata management, or master data management in life sciences contexts
- Experience working with or evaluating AI-generated outputs in a scientific or clinical setting
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
- Contribute directly to AI initiatives that advance scientific discovery and improve research outcomes
- Exposure to how high-quality governed data enables better science and more trustworthy AI models
- Potential for ongoing work and contract extension as new projects launch