Precision Medicine Data Lead

About The Role

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help build AI systems that power the next generation of clinical decision-making.

This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences analytics. You'll work alongside leading AI research teams — contributing deep domain knowledge that makes a measurable difference in how AI handles some of the most complex and consequential data in the world.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Design, oversee, and optimize pipelines that integrate genomic sequences, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for clinical research and precision medicine initiatives
• Evaluate and validate AI-generated outputs related to healthcare data — identifying errors, gaps, and opportunities for improvement
• Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Apply your domain expertise to help AI systems better understand and reason over clinical and genomic information

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
• Strong background in data integration, data governance, and translating complex biological or clinical data into meaningful insights
• Able to work cross-functionally across clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, rigorous, and comfortable operating at the intersection of science and technology
• Clear and effective communicator who can bridge the gap between domain science and data systems

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with bioinformatics tools, EHR systems, or genomic data standards (e.g., HL7 FHIR, VCF formats)
• Background in clinical research, translational medicine, or precision oncology
• Experience working in or alongside regulated healthcare or life sciences environments

• Work on cutting-edge AI projects alongside the world's leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Apply your specialist knowledge to AI development that could reshape how medicine is practiced
• Potential for ongoing work and contract extension as new projects launch