Biotech Health Data Governance Lead (AI Training)

About The Role

What if your expertise in biotech data governance could directly shape how AI understands and operates within one of the most complex, high-stakes domains 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 the next generation of AI-driven scientific discovery and regulatory submissions.

This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to apply their expertise at the frontier of AI development.

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, 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
Identify and resolve data quality issues that could impact scientific integrity or compliance
Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows
Support AI training initiatives by ensuring high-quality, well-structured, and trustworthy data pipelines

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, compliance, and regulatory expectations specific to research and clinical trial data (e.g., GCP, HIPAA, FDA 21 CFR Part 11)
Able to bridge scientific, technical, and compliance perspectives — translating complex requirements into clear, actionable data standards
Naturally detail-oriented with a systematic approach to data quality and auditability
Self-directed and comfortable working independently in a remote, asynchronous environment

Nice to Have

Prior experience with data annotation, data quality evaluation, or AI training workflows
Familiarity with metadata management tools, data catalogs, or clinical data management systems
Background in biostatistics, bioinformatics, or regulatory affairs
Experience working with 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 — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact work
Gain direct exposure to how high-quality governed data enables breakthroughs in AI and life sciences
Potential for ongoing work and contract extension as new projects launch