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Biotech Health Data Governance Lead

Alignerr

AI & Data Training Contractor
Remote (Global) $40 – $80/hr May 22, 2026

Job description

Biotech Health Data Governance Lead (AI Training)

About the Role

What if your expertise in biotech data governance could directly shape how AI understands and works with clinical research data — influencing discoveries that affect millions of patients worldwide? 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 cutting-edge AI models and regulatory submissions.

This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments. If you've spent your career making sure critical data is trustworthy and audit-ready, this is your opportunity to bring that expertise to the frontier of AI.

  • 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 full auditability for scientific analysis and regulatory submissions
  • Define and enforce data policies covering classification, access controls, security standards, and metadata management across research, clinical, regulatory, and partner teams
  • Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while protecting confidential and patient-related information
  • Evaluate and improve data quality frameworks used to support AI model training in life sciences contexts
  • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance practices

Who You Are

  • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or another regulated data environment
  • Deeply familiar with data privacy, security, and compliance requirements — including regulatory expectations for clinical trial and research data
  • Skilled at working across cross-functional teams — from bench scientists to IT architects to compliance officers
  • Detail-oriented and systematic, with a track record of building trustworthy, audit-ready data ecosystems
  • Comfortable working independently in a remote, asynchronous environment

Nice to Have

  • Prior experience with data annotation, data quality evaluation, or AI training data pipelines
  • Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or HIPAA
  • Background in data architecture, metadata management, or master data management in a life sciences context
  • Experience working with or evaluating AI/ML datasets in research or clinical settings

Why Join Us

  • Work at the intersection of life sciences and cutting-edge AI — a rare and genuinely exciting opportunity
  • Fully remote and flexible — structure your work around your life, not the other way around
  • Freelance autonomy with meaningful, substantive project work that draws on your deepest expertise
  • Contribute to AI initiatives that support real scientific discovery and better health outcomes
  • Collaborate with world-class AI research teams and life sciences organizations
  • Potential for ongoing work and contract extension as projects evolve
Apply now

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Frequently asked questions

Is Alignerr legitimate?
Yes, Alignerr is a legitimate company listed on RemoWork. We verify all companies on our platform. However, we always recommend doing your own research before sharing personal information or starting work. Check reviews from other users and visit the company's official website for the most up-to-date information.
How do I get started with Alignerr?
To get started, visit Alignerr's official website and look for their careers or sign-up page. Create an account, complete your profile with relevant skills and experience, and apply for available positions or projects. Some companies may require you to pass a qualification test or assessment before you can start working.
Does Alignerr offer remote work?
Yes, Alignerr offers remote work opportunities. Most tasks and positions can be completed from anywhere with a reliable internet connection and a computer or smartphone. Specific location requirements may vary by project or role, so check individual listings for details.
How does Alignerr pay its workers?
Payment methods and schedules vary. Common payment options include PayPal, bank transfers, Payoneer, and other digital payment platforms. Visit Alignerr's official website or check their payment/FAQ section for specific details about payment methods, minimum thresholds, and payout schedules.
What skills do I need to work with Alignerr?
Required skills vary by role and project. Generally, you'll need a reliable internet connection, basic computer literacy, strong attention to detail, and good communication skills. Some positions may require specialized expertise, language proficiency, or technical qualifications. Check individual job listings for specific requirements.
What type of AI work does Alignerr focus on?
Alignerr specializes in AI alignment and model evaluation tasks. Contributors help ensure AI models produce safe, accurate, and helpful outputs by evaluating model responses, identifying errors or biases, and providing human feedback that improves AI behavior and alignment with human values.
Do I need technical AI knowledge to work with Alignerr?
While technical AI knowledge is a plus, many Alignerr tasks are designed for non-technical contributors with strong critical thinking, writing, and analytical skills. The ability to evaluate content quality, identify factual errors, and provide clear feedback is more important than programming expertise for most roles.
How does Alignerr ensure quality in its work?
Alignerr implements multi-layered quality assurance including calibration tasks, consensus scoring between annotators, regular quality audits, and feedback loops. Contributors are expected to maintain high accuracy scores, and ongoing training helps maintain consistent quality standards.
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