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.)

Background working with clinical data management systems, EDC platforms, or biobank data

Experience developing metadata frameworks, data dictionaries, or governance documentation Why Join Us Work on cutting-edge AI projects alongside leading life sciences research organizations

Fully remote and adaptable — 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

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