Biotech Health Data Governance Lead (AI Training)
About The Role
What if your expertise in biotech data governance could directly shape how AI understands and operates within one of the most complex, high-stakes domains 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 the next generation of AI-driven scientific discovery and regulatory submissions.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to apply their expertise at the frontier of AI development.
- 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 covering 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
- Identify and resolve data quality issues that could impact scientific integrity or compliance
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows
- Support AI training initiatives by ensuring high-quality, well-structured, and trustworthy data pipelines
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, compliance, and regulatory expectations specific to research and clinical trial data (e.g., GCP, HIPAA, FDA 21 CFR Part 11)
- Able to bridge scientific, technical, and compliance perspectives — translating complex requirements into clear, actionable data standards
- Naturally detail-oriented with a systematic approach to data quality and auditability
- Self-directed and comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with metadata management tools, data catalogs, or clinical data management systems
- Background in biostatistics, bioinformatics, or regulatory affairs
- Experience working with cross-functional or globally distributed teams
Why Join Us
- Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Gain direct exposure to how high-quality governed data enables breakthroughs in AI and life sciences
- Potential for ongoing work and contract extension as new projects launch
