Biotech Health Data Governance Lead

Il y a 2 jours

France Alignerr Télétravail Temps plein
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 works with clinical and research data — at the frontier of life sciences and artificial intelligence? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready to support scientific discovery, regulatory filings, and advanced analytics. This is a fully remote, flexible contract role built for experienced life sciences and biotech professionals who want meaningful, high-impact work on their own schedule.
• Organization: Alignerr
• Type: Hourly Contract
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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 for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, AI model development, and external collaborations — while protecting confidential and patient-related information
• Identify and resolve data quality issues that could impact scientific validity, compliance, or AI training outcomes
• Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks Who You Are
• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data
• A skilled cross-functional collaborator — comfortable working alongside scientists, engineers, compliance officers, and business stakeholders
• Detail-oriented and systematic, with a strong instinct for data quality and traceability
• Self-directed and reliable when working independently in a remote, async environment Nice to Have
• Prior experience with data annotation, data quality evaluation, or AI training data workflows
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA as they apply to research and clinical data
• Experience with data cataloging, metadata management, or master data management tools
• Background in clinical data management, biostatistics, or bioinformatics Why Join Us
• Work at the intersection of life sciences and cutting-edge AI — contributing to research that matters
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, expertise-driven work
• Collaborate with leading AI research teams and life sciences organizations on high-impact projects
• Potential for ongoing work and contract extension as new projects launch