Precision Medicine Data Lead

Precision Medicine Data Lead

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 guide the integration, governance, and transformation of complex healthcare datasets into actionable insights — powering the next generation of AI-driven clinical research.

This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences who want to apply their expertise to cutting-edge AI development.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You'll Do

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals
• Translate sophisticated findings into clear, meaningful outputs for both scientific and non-technical stakeholders
• Contribute domain expertise to AI training projects focused on healthcare, genomics, and life sciences

Who You Are

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
• Strong background in data integration, data governance, and translating complex data into meaningful clinical or scientific insights
• Skilled at collaborating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented with a systematic, rigorous approach to data quality and accuracy
• Clear communicator — equally comfortable presenting to scientists and non-specialist stakeholders

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or genomics
• Background in bioinformatics, clinical informatics, or translational research
• Experience navigating HIPAA-compliant or similarly regulated data environments

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Apply deep domain expertise to problems that sit at the frontier of AI and personalized medicine
• Potential for ongoing work and contract extension as new projects launch