Biotech Health Data Governance Lead

Alignerr; España; À distance; EUR 83 000 - 124 000; Temps partiel

Résumé du poste

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data for accuracy, lineage, and auditability. The role supports regulatory submissions and AI model training in life sciences from a fully remote setting.

You will define data policies, enable governed access for analytics, and collaborate with cross-functional teams to align standards while protecting patient information.

Qualifications

• Experience leading data governance programs in biotech or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory expectations for research data.
• Able to bridge scientific, technical and business teams on data standards and practices.
• Detail-oriented and systematic with a structured approach to complex data environments.
• Comfortable working independently in a remote, asynchronous setting.

Responsabilités

• Govern biotech research and clinical trial data for accuracy, lineage, and auditability for analysis and regulatory submissions.
• Define and enforce data policies for classification, access, security, and metadata across teams.
• Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting patient information.
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and governance frameworks.
• Identify gaps in data quality, traceability, and compliance and drive measurable improvements.
• Support development of high-quality datasets for AI model training in life sciences.

Connaissances

Data governance

Regulatory compliance

Cross-functional collaboration

Attention to detail

Remote work autonomy

Outils

LIMS

Clinical data platforms

Description du poste

Biotech Health Data Governance Lead (AI Training)

About The Role

What if your expertise in biotech and clinical data could directly influence how AI understands and advances life sciences research? 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 filings, and next-generation AI models.

• 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 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, innovation, and external collaborations while protecting confidential and patient-related information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Identify gaps in data quality, traceability, and compliance — and drive measurable improvements
• Support the development of high-quality, trustworthy datasets that underpin cutting-edge AI model training in life sciences

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 frameworks, and regulatory expectations for research and clinical trial data
• Skilled at bridging scientific, technical, and business teams to build shared data standards and practices
• Detail-oriented and systematic — you bring structure and rigor to complex, multi-stakeholder data environments
• Comfortable working independently and managing your own priorities in a remote, asynchronous setting

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, HIPAA, or GDPR as applied to clinical and research data
• Background working with clinical data management systems, LIMS, or biotech data platforms
• Experience supporting regulatory submissions or data audits in a life sciences context

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI with leading research organizations
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure and purpose of meaningful, high-impact work
• Direct exposure to how high-quality, governed data enables better science and smarter AI
• Potential for ongoing work and contract extension as new projects launch