About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — accelerating scientific discovery for millions of people worldwide? 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 life sciences innovation.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want meaningful work on their own terms.
- 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 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
- Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and best practices
- Support AI training initiatives by ensuring data used in model development meets rigorous quality and compliance standards
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deeply knowledgeable in data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
- A natural collaborator — able to bridge scientific, technical, and business stakeholders around shared data standards
- Detail-oriented and systematic, with the ability to manage complex data ecosystems and maintain audit-ready documentation
- Self-directed and comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines)
- Background in clinical data management, biostatistics, or bioinformatics
- Experience working within cross-functional or globally distributed teams
Why Join Us
- Work at the intersection of cutting-edge AI and life sciences research alongside leading AI research teams
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of high-impact, mission-driven work
- Contribute to AI and scientific initiatives that have real-world consequences for human health
- Potential for ongoing work and contract extension as projects evolve and expand