About the Role
What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — influencing the next generation of life sciences 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 scientific breakthroughs, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals who want autonomy, meaningful work, and the chance to sit at the intersection of life sciences and cutting-edge 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 auditability for scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
- Identify data quality issues and implement scalable processes to maintain integrity across complex, multi-team environments
- Serve as the connective tissue between scientific, IT, compliance, and business stakeholders to align data standards and workflows
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Strong command of data privacy, security, compliance, and regulatory expectations specific to research and clinical trial data
- Skilled at collaborating across diverse teams — scientists, engineers, compliance officers, and business partners — to drive alignment on data standards
- Detail-oriented and systematic, with a track record of building governance frameworks that actually stick
- Comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training datasets
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA in the context of clinical research data
- Background in data architecture, metadata management, or master data management within life sciences
- Exposure to AI or machine learning pipelines and how high-quality governed data enables better model outcomes
Why Join Us
- Work at the frontier of AI and life sciences — your governance expertise directly enables better science and smarter AI
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of high-impact, domain-specific work
- Collaborate with world-class AI research teams and life sciences organizations on projects that matter
- Potential for ongoing work and contract extension as new projects launch