Biotech Health Data Governance Lead

Alignerr Corp.

India

Remote

INR 2,066,000 - 4,822,000

Part time

4 days ago
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Benefits offered by this job

Fully remote
Freelance autonomy
Contract extension potential

Job summary

Alignerr Corp. is seeking a Biotech Health Data Governance Lead (AI Training) to ensure accurate, compliant, and auditable biotech and clinical trial data for scientific analysis and regulatory submissions. This remote hourly contract role requires coordinating with researchers, IT, and compliance teams.

You will help enable secure access for analytics, support AI model readiness in life sciences, and drive governance structures across diverse teams in a remote, async environment.

Qualifications

  • Experience leading data governance programs in biotech or regulated environments.
  • Strong knowledge of privacy, security, and regulatory expectations for research data.
  • Ability to bridge scientific, technical, compliance, and business teams.

Responsibilities

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

Skills

Data governance
Biotech
Life sciences
Regulatory compliance
Stakeholder collaboration
Remote work

Tools

CDISC
FHIR
HL7

Job description

Biotech Health Data Governance Lead (AI Training)
About The Role

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.

  • 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
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