About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research at the highest level? 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 filings, 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, high-impact work on their own terms.
- 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 for classification, access, security, and metadata 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
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Support AI model development by ensuring underlying life sciences data meets the highest standards of quality and compliance
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Skilled at bridging scientific, technical, and business teams to align on data standards and best practices
- Detail-oriented, systematic, and confident working independently in a remote, asynchronous environment
- Comfortable navigating complex, multi-stakeholder data ecosystems with clarity and authority
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA
- Background in clinical data management, biostatistics, or health informatics
- Experience working with AI or machine learning teams in a life sciences context
Why Join Us
- Work at the intersection of life sciences and cutting-edge AI research alongside world-leading teams
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of high-stakes, meaningful projects
- Contribute directly to AI systems that could accelerate scientific discovery and improve human health
- Potential for ongoing work and contract extension as new projects launch