About the Role
What if your expertise in biotech and clinical data could directly shape how AI understands and operates within one of the most consequential fields 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 scientific discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to make a real impact at the intersection of biotech and 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 full auditability for scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across complex, multi-team environments
- Support AI training initiatives with high-quality, well-governed life sciences data that meets the standards required by leading research organizations
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial data
- A natural collaborator who can bridge scientific, technical, and business teams around shared data standards
- Detail-oriented and systematic — you understand that in regulated environments, data quality isn't optional
- Self-motivated and comfortable working independently in a remote, asynchronous setting
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training datasets
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, HIPAA, or GDPR as applied to clinical and research data
- Background in bioinformatics, clinical data management, or health informatics
- Experience working with external research partners or cross-functional life sciences teams
Why Join Us
- Work at the frontier of AI and life sciences with teams building the next generation of research-grade AI models
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of meaningful, high-impact technical work
- Gain exposure to how cutting-edge AI systems are trained and validated using real scientific data
- Potential for ongoing work and contract extension as new projects launch