About the Role
What if your deep knowledge of biotech data and clinical research could directly shape how AI understands and handles the most sensitive, high-stakes information in science? 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 in life sciences, clinical research, or regulated data environments who want to make a real impact at the intersection of biotech and 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 auditability for 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 teams to align data standards, workflows, and governance frameworks
- Support AI model development with high-quality, trustworthy life sciences data
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Strong command 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 practices
- Detail-oriented and systematic — you understand what it means to get data governance right in high-stakes environments
- Comfortable working independently and managing your own priorities in a remote, async setting
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI model training workflows or how training data shapes model behavior
- Background in regulatory affairs, clinical data management, or bioinformatics
- Experience working with cross-functional or global teams in life sciences
Why Join Us
- Work on cutting-edge AI projects alongside leading 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
- Contribute to AI development that directly supports better science and safer research
- Exposure to advanced AI models and the role high-quality data plays in shaping them
- Potential for ongoing work and contract extension as new projects launch