Precision Medicine Data Lead
Job in
San Diego, San Diego County, California, 92189, USA
Listed on 2026-07-31
Listing for:
Alignerr
Full Time
position Listed on 2026-07-31
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Engineering, Information Security & Data Protection
Job Description & How to Apply Below
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 guide how complex healthcare datasets are integrated, governed, and transformed into insights that power cutting-edge AI models and 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 some of the most exciting AI development work happening today.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strong data governance
- Translate sophisticated findings into clear, meaningful outputs for both scientific and non-technical stakeholders
- Evaluate and improve how AI models handle healthcare and genomic data — ensuring accuracy, reliability, and clinical relevance
- 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 insights for scientific or clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and methodical — you care deeply about data quality and scientific integrity
- Self-motivated and reliable when working independently in an async, remote setting
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI model training workflows or AI data pipelines
- Background in bioinformatics, clinical informatics, or translational research
- Experience working in HIPAA-compliant or similarly regulated data environments
- Work at the frontier of AI and healthcare — contributing to models that will shape the future of precision medicine
- Collaborate with world-leading AI research teams and labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure and purpose of meaningful, high-impact work
- Gain direct exposure to advanced large language models and how they're trained on specialized scientific data
- Potential for ongoing work and contract extension as new projects launch
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