AI-Driven Precision Medicine Data Lead in Cambridge

AI-Driven Precision Medicine Data Lead in Cambridge

Cambridge Full-Time 10 - 40 £ / hour (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Lead the design of data pipelines and ensure quality for AI in personalised medicine.
  • Company: Alignerr, a forward-thinking company revolutionising healthcare with AI.
  • Benefits: Flexible remote work, competitive hourly pay, and opportunities to shape the future of medicine.
  • Why this job: Make a real difference in healthcare by driving AI workflows with cutting-edge data.
  • Qualifications: Experience in genomics, life sciences, or clinical analytics is essential.

The predicted salary is between 10 - 40 £ per hour.

Alignerr is seeking a Precision Medicine Data Lead to shape how genomics, EHRs, and other clinical data feed AI training in personalized medicine.

This is a fully remote hourly contract offering 10–40 hours per week, ideal for experienced data professionals in genomics, life sciences, or clinical analytics.

You’ll design pipelines, govern data quality, and collaborate with clinicians and researchers to drive safe, compliant AI workflows across multi-source healthcare data.

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AI-Driven Precision Medicine Data Lead in Cambridge employer: Alignerr

Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace AI-Driven Precision Medicine Data Lead in Cambridge

Genomics
Clinical Data Analysis
Data Pipeline Design
Data Quality Governance
AI Workflow Management
Collaboration with Clinicians
Research Collaboration