About the Role
What if your expertise in biotech data governance could directly shape how AI understands and reasons about clinical research, regulatory science, and life sciences data? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready for scientific discovery.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. You'll work at the intersection of cutting-edge AI development and rigorous scientific data standards — a rare opportunity to make your domain expertise count in a field that's reshaping medicine.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Lead governance of biotech research and clinical trial data — ensuring accuracy, lineage, and auditability for scientific analysis and regulatory submissions
- Define and enforce data policies for classification, access control, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for AI analytics, innovation initiatives, and external collaborations — while protecting confidential and patient-related information
- Evaluate and validate data quality standards to ensure research outputs meet the expectations of leading AI and life sciences organizations
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Identify gaps in existing data practices and recommend scalable, compliant improvements
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, and compliance requirements for research and clinical trial data
- Strong communicator who can bridge the gap between scientific, technical, and compliance teams
- Detail-oriented and systematic — you take data integrity seriously and can enforce standards at scale
- Comfortable working independently in an asynchronous, remote environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data pipelines
- Familiarity with regulatory submission standards (FDA, EMA, ICH, etc.)
- Background working with clinical data management systems, EDC platforms, or biobank data
- Experience developing metadata frameworks, data dictionaries, or governance documentation
Why Join Us
- Work on cutting-edge AI projects alongside leading life sciences research organizations
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of meaningful, high-stakes scientific work
- Contribute to AI development that has real implications for drug discovery, clinical research, and patient outcomes
- Potential for ongoing work and contract extension as new projects launch