Biotech Health Data Governance Lead

Alignerr Corp.; Madrid; Remote; EUR 83,000 - 124,000; Full time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) for a remote hourly contract. The role focuses on ensuring accuracy, lineage, and auditability of biotech research and clinical trial data used in AI training and regulatory submissions.

The ideal candidate has experience in regulated data environments, strong privacy and compliance knowledge, and the ability to collaborate across scientific, IT, and compliance teams in a remote setting.

Qualifications

• Experience leading or implementing data governance programs in biotech or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory requirements for research data.
• Excellent cross-functional communication bridging science, IT and compliance.
• Detail-oriented with ability to enforce standards at scale.
• Able to work independently in a remote, asynchronous setting.

Responsibilities

• Lead governance of biotech research and clinical trial data with auditability for scientific analysis and regulatory submissions.
• Define and enforce data policies for access control, security, and metadata across research, clinical, regulatory, and partner teams.
• Enable governed data access for AI analytics while protecting patient information.
• Evaluate data quality standards to meet expectations of AI and life sciences organizations.
• Collaborate with stakeholders to align data standards and governance frameworks.
• Identify gaps and recommend scalable, compliant improvements.

Skills

Data governance

Biotech data

Regulatory compliance

Data privacy

Communication

Job description

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 reasons about clinical research, regulatory science, and life sciences data? 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 for scientific discovery.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. You'll work at the intersection of cutting-edge AI development and rigorous scientific data standards — a rare opportunity to make your domain expertise count in a field that’s reshaping medicine.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Lead governance of biotech research and clinical trial data — ensuring accuracy, lineage, and auditability for scientific analysis and regulatory submissions
• Define and enforce data policies for classification, access control, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for AI analytics, innovation initiatives, and external collaborations — while protecting confidential and patient-related information
• Evaluate and validate data quality standards to ensure research outputs meet the expectations of leading AI and life sciences organizations
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Identify gaps in existing data practices and recommend scalable, compliant improvements

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Deeply familiar with data privacy, security, and compliance requirements for research and clinical trial data
• Strong communicator who can bridge the gap between scientific, technical, and compliance teams
• Detail-oriented and systematic — you take data integrity seriously and can enforce standards at scale
• Comfortable working independently in an asynchronous, remote environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with regulatory submission standards (FDA, EMA, ICH, etc.)

  Why Join Us

  • Work on cutting-edge AI projects alongside leading life sciences research organizations
  • Fully remote and flexible — structure your work around your schedule
  • Freelance autonomy with the substance of meaningful, high-stakes scientific work
  • Contribute to AI development that has real implications for drug discovery, clinical research, and patient outcomes
  • Potential for ongoing work and contract extension as new projects launch