Biotech Health Data Governance Lead

Alignerr Corp.

Columbus (OH)

Remoto

USD 83.000 - 165.000

Tempo integral

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Resumo da vaga

Alignerr is seeking a Biotech Health Data Governance Lead to ensure biotech clinical trial and research data are accurate, traceable, and trustworthy for AI development. This fully remote contract role supports experienced professionals in regulated data environments, offering flexible hours and ongoing project work.

You will define data policies, enforce privacy and security standards, and collaborate across scientific, IT, and compliance teams to enable governed access for analytics while

Qualificações

  • Experience leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments.
  • Deep knowledge of data privacy, security, and regulatory expectations for research data.
  • Ability to translate complex data requirements into clear, actionable policies.

Responsabilidades

  • Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for analysis and regulatory submissions.
  • Define and enforce data policies covering classification, access, security, and metadata across research, regulatory, and partner teams.
  • Enable secure, governed access to data for analytics and collaborations while protecting patient information.
  • Evaluate and improve data quality standards to support AI model development in life sciences contexts.
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards across functions.

Conhecimentos

Data governance
Regulatory compliance
Data privacy

Ferramentas

CDISC
HL7
FHIR

Descrição da vaga

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

What if your deep knowledge of biotech data and regulatory compliance 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 clinical trial and research data is accurate, traceable, and trustworthy — supporting cutting-edge AI development at the intersection of science and technology.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want to make a meaningful contribution to the future of AI-powered research.

  • 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, 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
  • Evaluate and improve data quality standards in ways that directly support AI model development in life sciences contexts
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across functions
Who You Are
  • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
  • Deeply familiar with data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
  • Skilled at bridging scientific, technical, and compliance teams — translating complex data requirements into clear, actionable policies
  • Detail-oriented and systematic — you understand that in regulated environments, the integrity of every data point matters
  • Self-motivated and comfortable working independently in a remote, asynchronous setting
Nice to Have
  • Prior experience with data annotation, data quality frameworks, or AI evaluation systems
  • Familiarity with regulatory submissions processes (FDA, EMA, or equivalent)
  • Background working with clinical data standards such as CDISC, HL7, or FHIR
  • Exposure to AI or machine learning workflows in a life sciences context
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high‑impact work
  • Contribute to AI development that has real consequences for how science is done and how lives are improved
  • Exposure to advanced AI models and how high‑quality, governed data enables better science
  • Potential for ongoing work and contract extension as new projects launch
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