About the Role
What if your deep 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 scientific discovery, regulatory submissions, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want to do meaningful work at the intersection of science 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 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 pipelines, and external collaborations — while rigorously protecting confidential and patient-related information
- Identify data quality gaps and drive improvements that strengthen compliance and research integrity
- Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Support AI model development by ensuring underlying biotech and clinical datasets meet the highest standards of quality and trustworthiness
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
- Strong command of data privacy, security, compliance, and regulatory expectations specific to research and clinical trial data
- Comfortable navigating complex, cross-functional environments — bridging scientific, technical, and business teams around shared data standards
- Detail-oriented and systematic, with a track record of building governance frameworks that hold up under regulatory scrutiny
- Self-directed and reliable when working independently in an asynchronous, remote setting
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, GCP, GDPR, or HIPAA as applied to research data
- Background in clinical data management, bioinformatics, or health informatics
- Experience working with external research partners or CROs on data governance protocols
Why Join Us
- Work on cutting-edge AI projects alongside leading life sciences research teams and AI research labs
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of high-stakes, meaningful work
- Directly influence how AI models understand and reason about biotech and clinical research data
- Exposure to frontier AI development and how high-quality governed data enables better science
- Potential for ongoing work and contract extension as new projects launch