About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at the frontier of life sciences? 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 discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals who know how to bring order, trust, and rigour to complex biotech data environments.
- 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 standards, and metadata management 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
- Work cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Identify gaps in existing data quality and compliance processes and lead initiatives to close them
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, and compliance expectations specific to research and clinical trial data
- A strong cross-functional collaborator who can bridge scientific, technical, and regulatory teams around shared data standards
- Detail-oriented and systematic — you understand what it takes to make data truly trustworthy at scale
- 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 data pipelines
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to life sciences
- Background working alongside AI or machine learning teams on data readiness initiatives
- Experience with metadata management tools or data cataloguing platforms
Why Join Us
- Work on cutting-edge AI projects alongside leading AI 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
- Gain direct exposure to how high-quality, governed data enables breakthroughs in both AI and scientific research
- Contribute to initiatives that sit at the intersection of biotech innovation and the future of AI
- Potential for ongoing work and contract extension as new projects launch