Biotech Health Data Governance Lead (AI Training)

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 general 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

📌 Biotech Health Data Governance Lead (México)
🏢 Alignerr
📍 México