Biotech Health Data Governance Lead
Biotech Health Data Governance Lead (AI Training) About The Role What if your expertise in biotech data governance could directly shape how AI understands and reasons about clinical research, regulatory submissions, and life sciences data? We're partnering with leading AI research teams and life sciences organizations to build AI models grounded in high-quality, trustworthy scientific data. We're looking for a Biotech Health Data Governance Lead to bring rigor, structure, and compliance expertise to the research and clinical trial data that powers these systems. This is a fully remote, flexible contract role designed for experienced professionals who know what it takes to govern sensitive, regulated data in high-stakes 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 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 access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
- Identify gaps in data quality, traceability, and compliance posture and develop practical strategies to address them
- Collaborate across scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Support the development of annotation, data quality, and evaluation systems that make AI training data more reliable and scientifically sound
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, and compliance expectations for research and clinical trial data — including relevant regulatory frameworks
- Skilled at translating complex governance requirements into practical policies and workflows that cross-functional teams can actually use
- A clear communicator who can bridge the gap between scientific, technical, and compliance perspectives
- Detail-oriented, systematic, and comfortable operating independently in a remote, async work environment
Nice to Have
- Prior experience with data annotation, data quality frameworks, or AI training data evaluation
- Familiarity with clinical data standards such as CDISC, HL7, or FHIR
- Background working with IRBs, regulatory bodies, or in GxP-compliant environments
- Exposure to AI/ML workflows and how high-quality data enables better model performance
Why Join Us
- Work at the intersection of cutting-edge AI and life sciences research alongside world-class teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute to AI systems that could transform how scientific discovery and clinical research are conducted
- Potential for ongoing work and contract extension as new projects launch
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