Precision Medicine Data Lead
Alignerr · San Antonio, TX
CONTRACT
Posted Sep 6, 2026
Job Description
Precision Medicine Data Lead (AI Training)
About The Role
What if your expertise in genomics 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 help build, evaluate, and guide the data pipelines and analytical strategies that power next-generation healthcare AI.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences. You'll work alongside world-leading AI research teams — bringing your domain expertise to problems that sit at the intersection of precision medicine and cutting-edge machine learning.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support and precision medicine research
- Evaluate and validate AI-generated outputs related to healthcare data — identifying gaps, errors, and opportunities for improvement
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate findings and recommendations clearly to diverse stakeholders across clinical, research, and engineering functions
- Contribute to data governance frameworks that ensure accuracy, compliance, and reproducibility across large-scale healthcare datasets
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 scientific data into meaningful insights
- Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, methodical, and confident evaluating the quality and reliability of data-driven outputs
- Comfortable working independently and asynchronously in a remote environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with EHR systems, genomic databases, or clinical trial data platforms
- Background in bioinformatics, translational research, or clinical data science
- Experience contributing to or reviewing AI/ML workflows in healthcare or life sciences contexts
Why Join Us
- Work at the frontier of AI and precision medicine alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Direct exposure to how advanced AI models are trained and evaluated in high-stakes scientific domains
- Potential for ongoing work and contract extension as new projects launch
About The Role
What if your expertise in genomics 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 help build, evaluate, and guide the data pipelines and analytical strategies that power next-generation healthcare AI.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences. You'll work alongside world-leading AI research teams — bringing your domain expertise to problems that sit at the intersection of precision medicine and cutting-edge machine learning.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support and precision medicine research
- Evaluate and validate AI-generated outputs related to healthcare data — identifying gaps, errors, and opportunities for improvement
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate findings and recommendations clearly to diverse stakeholders across clinical, research, and engineering functions
- Contribute to data governance frameworks that ensure accuracy, compliance, and reproducibility across large-scale healthcare datasets
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 scientific data into meaningful insights
- Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, methodical, and confident evaluating the quality and reliability of data-driven outputs
- Comfortable working independently and asynchronously in a remote environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with EHR systems, genomic databases, or clinical trial data platforms
- Background in bioinformatics, translational research, or clinical data science
- Experience contributing to or reviewing AI/ML workflows in healthcare or life sciences contexts
Why Join Us
- Work at the frontier of AI and precision medicine alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Direct exposure to how advanced AI models are trained and evaluated in high-stakes scientific domains
- Potential for ongoing work and contract extension as new projects launch
Additional Details
- City
- San Antonio
- State
- Texas
- Country
- US
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