Precision Medicine Data Lead (AI Training)
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About The Role
What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine? We're looking for a Precision Medicine Data Lead to help build and refine the AI systems that are transforming healthcare — turning complex biological and clinical datasets into insights that matter. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences. If you've spent your career making sense of complex health data, this is your opportunity to put that knowledge to work at the frontier of AI.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design, evaluate, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics frameworks
Lead analytical strategies that transform integrated datasets into actionable insights for clinical decision support, research applications, and precision medicine initiatives
Assess AI-generated outputs related to healthcare and genomic data for scientific accuracy, clinical relevance, and practical utility
Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
Communicate complex findings clearly to both scientific and non‑technical stakeholders
Work independently and asynchronously on task-based assignments — fully on your own schedule
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 biological or clinical data into meaningful insights
Comfortable working cross‑functionally with clinical, research, and engineering teams in regulated or highly technical environments
Detail‑oriented and systematic — you hold data to a high standard and know when something doesn't add up
Clear and confident communicator across both scientific and operational audiences
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Familiarity with AI tools, machine xpzdshu learning workflows, or healthcare AI applications
Background in bioinformatics, computational biology, or clinical informatics
Experience navigating HIPAA, GDPR, or other healthcare data compliance frameworks
Why Join Us
Work on cutting‑edge AI projects alongside leading research labs and AI development teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high‑impact work
Contribute directly to AI systems that could reshape how medicine is practiced at scale
Gain exposure to advanced large language models and how they’re trained on specialized scientific domains
Potential for ongoing work and contract extension as new projects launch
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