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