About the Role
What if your expertise in biotech data governance could directly shape how AI systems understand and work with some of the most complex, high-stakes data in the world? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and audit-ready.
This is a fully remote, flexible contract role for an experienced professional who understands what it takes to govern data in regulated life sciences environments — and wants to apply that expertise at the frontier of 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 across scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
- Identify gaps in data quality and compliance, and implement practical, scalable solutions
- Collaborate with scientific, IT, compliance, and business stakeholders to align data governance standards and workflows
- Support the integrity and trustworthiness of data used to train and evaluate cutting-edge AI models
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, and compliance requirements — including regulatory expectations for clinical trial and research data
- A natural collaborator who can bridge scientific, technical, and compliance teams around shared data standards
- Detail-oriented and systematic — you care about getting data governance right at every layer
- Comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality frameworks, or AI evaluation systems
- Familiarity with regulatory submission requirements (e.g., FDA, EMA) for clinical data
- Background in metadata management, data cataloging, or master data management tools
- Experience working across 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 — structure your work around your schedule
- Freelance autonomy with the substance of genuinely meaningful, high-impact work
- Contribute to AI development that advances scientific discovery and improves how research data powers better medicine
- Potential for ongoing work and contract extension as new projects launch