Alignerr
Biotech Health Data Governance Lead
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Biotech Health Data Governance Lead (AI Training)
About The Role
What if your deep expertise in biotech data governance could directly shape how AI understands, processes, and reasons about clinical and research data? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and scientifically trustworthy.
This is a fully remote, flexible contract role for an experienced professional who understands the unique demands of regulated life sciences data environments. If you've built or led data governance programs in biotech or clinical research, this is your opportunity to bring that expertise to the frontier of AI development.
- 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 across 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, AI model development, and external collaborations — while protecting confidential and patient-related information
- Evaluate and improve data annotation, quality, and classification workflows to meet the rigorous standards required for AI training in life sciences contexts
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, resolve governance gaps, and build scalable workflows
- Ensure data practices are audit-ready and aligned with regulatory expectations for clinical and research environments
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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, and compliance frameworks relevant to research and clinical trial data
- Skilled at bridging scientific, technical, and compliance teams — translating complex governance requirements into practical, workable policies
- Detail-oriented and systematic — you understand that data quality in life sciences isn't just good practice, it's a regulatory and scientific necessity
- Comfortable working independently in a remote, asynchronous environment
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Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with regulatory frameworks such as HIPAA, GDPR, FDA 21 CFR Part 11, or ICH E6 GCP
- Background in clinical data management, bioinformatics, or research informatics
- Experience working with cross-functional or global life sciences teams
Why Join Us
- Work at the intersection of AI and life sciences — contributing to research that matters
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with meaningful, substantive work that draws on your deepest expertise
- Collaborate with world-leading AI research teams and life sciences organizations
- Exposure to cutting-edge AI model development and the role high-quality governed data plays in advancing science
- Potential for ongoing engagement and contract extension as projects grow
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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