Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help build the AI systems that will power the next generation of clinical research and treatment. This is a fully remote, flexible contract role built for experienced data professionals in genomics, life sciences, or healthcare analytics who want to work at the cutting edge of 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 data into unified analytics platforms Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support Collaborate cross-functionally 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 Apply expertise in data governance to ensure compliance and integrity across highly regulated datasets Contribute to the development of cutting-edge AI models by providing domain-level guidance on healthcare and genomic data 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 datasets into meaningful insights for clinical or scientific audiences Comfortable collaborating with clinical, research, and engineering teams in regulated or highly technical environments Detail-oriented, methodical, and confident making decisions that affect data quality and research outcomes Able to work independently and asynchronously across a flexible, remote schedule Nice to Have Prior experience with data annotation, data quality assurance, or evaluation systems Familiarity with AI model training workflows or large language model (LLM) evaluation Background in bioinformatics, translational research, or clinical informatics Experience communicating data strategy to executive or interdisciplinary audiences 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 Make a direct contribution to AI systems that could reshape how medicine is practiced and personalized at scale Exposure to advanced LLMs and the real-world processes behind how they are trained Potential for ongoing work and contract extension as new projects launch