Biotech Health Data Governance Lead (AI Training) About The Role What if your expertise in biotech and clinical data could directly shape how the next generation of AI understands life sciences research? 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 data governance professionals in biotech, life sciences, or regulated clinical 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 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
- Evaluate and improve data quality frameworks used to train and validate AI models in life sciences contexts
- Collaborate with scientific, IT, compliance, and business teams to align data standards, workflows, and governance practices
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 working cross-functionally --- bridging scientific, technical, and compliance teams with clarity and credibility
- Methodical and detail-oriented with a deep commitment to data integrity and auditability
- Comfortable working independently and asynchronously in a remote, task-based environment
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, or GDPR as applied to clinical data
- Background in clinical data management, bioinformatics, or research informatics
- Experience with metadata management systems or data cataloguing tools
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research labs
- Fully remote and flexible --- work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Gain exposure to how high-quality governed data enables better AI and better science
- Potential for ongoing work and contract extension as new projects launch
