Biotech Health Data Governance Lead

Alignerr; India; Remote; INR 83,000 - 152,000; Full time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data for accuracy, lineage, and regulatory submissions. This remote, hourly contract role is for professionals in biotech, life sciences, or regulated data environments.

You will collaborate with scientists, IT, compliance and business teams to align data standards, enforce policies, and enable secure access for analytics and external collaborations while protecting patient

Qualifications

• Experience leading data governance programs in biotech or regulated data environments.
• Knowledge of data privacy, security, and regulatory expectations for research data.
• Ability to collaborate across scientific, IT, compliance and business teams.

Responsibilities

• Govern biotech research and clinical trial data for accuracy, lineage and auditability.
• Define and enforce data policies across classification, access controls, security and metadata.
• Enable governed data access for analytics and external collaborations while protecting patient information.
• Collaborate with stakeholders to align data standards and workflows across the organization.
• Support development of high-quality datasets underpinning AI models in life sciences.

Skills

Biotech governance

Clinical data

Regulatory compliance

Job description

Biotech Health Data Governance Lead (AI Training)

What if your expertise in biotech and clinical data governance could directly shape how AI understands and works with 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. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've built or led governance programs that keep complex research data trustworthy and audit-ready, we want to hear from you.

• 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 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 protecting confidential and patient‑related information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization
• Support the development of high‑quality, trustworthy datasets that underpin cutting‑edge AI models in life sciences

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
• Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• A natural collaborator — comfortable bridging scientific, technical, compliance, and business teams to align on data standards
• Detail-oriented and systematic, with a track record of building governance structures that hold up under regulatory scrutiny
• Self-motivated and reliable when working independently in a remote, async environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with clinical data standards such as CDISC, FHIR, or HL7
• Background in regulatory submissions or GxP‑compliant environments
• Experience working across cross‑functional or globally distributed teams

Why Join Us

• Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high‑impact work
• Play a direct role in ensuring the data quality that drives better science and smarter AI
• Potential for ongoing work and contract extension as new projects launch