Remote Biotech Data Governance Lead for AI Training

Alignerr Corp.

Salt Lake City (UT)

On-site

USD 83,000 - 124,000

Part time

16 hours ago
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Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech data assets for research, clinical trials, and AI-powered analytics. You will establish and enforce policies for data classification, access, security, and metadata and collaborate across scientific, IT, compliance, and business units to ensure data quality and lineage.

The role is a fully remote, hourly contract offering 10–40 hours per week, ideal for experienced professionals in regulated life sciences

Qualifications

  • Experience implementing data governance in biotech or regulated data environments.
  • Knowledge of data privacy, security, and regulatory expectations for research and clinical data.
  • Ability to bridge scientific, technical, and business teams around data standards.

Responsibilities

  • 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 across scientific, IT, compliance, and business teams to align data standards and workflows.
  • Support AI training initiatives by ensuring the quality, traceability, and integrity of life sciences datasets.

Skills

Data governance leadership
Regulatory compliance knowledge
Cross-functional collaboration
Detail-oriented

Tools

Metadata management tools
Data privacy tools

Job description

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech data assets for research, clinical trials, and AI-powered analytics. You will establish and enforce policies for data classification, access, security, and metadata and collaborate across scientific, IT, compliance, and business units to ensure data quality and lineage.

The role is a fully remote, hourly contract offering 10–40 hours per week, ideal for experienced professionals in regulated life sciences

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