About the Role
What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at a global scale? 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 biotech, life sciences, or regulated data environments who want meaningful, high-impact work on their own schedule.
- 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 controls, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed access to sensitive data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
- Evaluate and improve data quality frameworks to meet the standards required by leading AI and life sciences research initiatives
- Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and governance practices
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Strong command of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Skilled at bridging the gap between scientific, technical, and business stakeholders to drive alignment on data standards
- Detail-oriented, systematic, and comfortable working independently in a remote, asynchronous environment
- Passionate about data integrity and the role it plays in enabling better science and safer AI
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with regulatory frameworks such as HIPAA, GDPR, GCP, or FDA data requirements
- Background in clinical data management, bioinformatics, or health informatics
- Experience working with cross-functional or globally distributed teams
Why Join Us
- Work at the intersection of cutting-edge AI and life sciences research alongside world-leading research labs
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-stakes work
- Make a direct impact on the quality and trustworthiness of data powering next-generation AI models
- Exposure to advanced AI systems and how rigorous data governance enables better, safer science
- Potential for ongoing work and contract extension as new projects launch