Biotech Health Data Governance Lead

Alignerr · United States · 2 days ago

RemoteRemoteInformation TechnologyContract

About The Role

What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — influencing discoveries that affect millions of lives? 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 submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for seasoned professionals in life sciences and regulated data environments who want meaningful, high-impact work on their own terms.

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 across research, clinical, regulatory, and partner teams
Enable secure, governed access to data for analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
Identify gaps in existing data governance frameworks and design practical, scalable solutions
Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and accountability
Support data quality, annotation, and evaluation initiatives that underpin AI model training in life sciences contexts

Who You Are

Experienced leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
Deep understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., HIPAA, GDPR, FDA 21 CFR Part 11)
Skilled at working across scientific, technical, and business teams — translating complex governance requirements into clear, actionable standards
Systematic and detail-oriented — you build frameworks that hold up under regulatory scrutiny
Self-directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

Prior experience with data annotation, data quality programs, or AI training data evaluation
Familiarity with clinical data standards such as CDISC, HL7, or FHIR
Background in regulatory submissions, GCP, or GxP-compliant environments
Experience with data cataloging tools, master data management, or metadata frameworks

Why Join Us

Work on cutting-edge AI and life sciences projects alongside leading research labs
Fully remote and flexible — structure your work around your life, not the other way around
Freelance autonomy with the substance of genuinely impactful, domain-expert work
Contribute to AI development that raises the bar for scientific integrity and data trustworthiness
Potential for ongoing work and contract extension as new projects launch