Precision Medicine Data Lead
Alignerr
Precision Medicine Data Lead (AI Training)About The RoleWhat 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 guide how complex healthcare and genomic datasets are integrated, governed, and transformed into insights that power the next generation of AI-driven clinical research.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences and cutting-edge AI.
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 convert 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 strategic alignment
Translate sophisticated data findings into clear, meaningful narratives for scientific and clinical stakeholders
Apply your domain expertise to evaluate, annotate, and improve AI-generated outputs in healthcare and life sciences contexts
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 insights for scientific or clinical audiences
Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
Detail-oriented, methodical, and comfortable operating independently in a remote, asynchronous workflow
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation systems
Familiarity with bioinformatics tools, EHR platforms, or clinical data standards (HL7, FHIR, etc.)
Background in translational research, clinical trials, or population health analytics
Experience working with or evaluating large language models (LLMs) in scientific domains
Why Join Us
Work on cutting-edge AI projects alongside world-leading research labs
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 at the frontier of AI and precision medicine
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences and cutting-edge AI.
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 convert 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 strategic alignment
Translate sophisticated data findings into clear, meaningful narratives for scientific and clinical stakeholders
Apply your domain expertise to evaluate, annotate, and improve AI-generated outputs in healthcare and life sciences contexts
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 insights for scientific or clinical audiences
Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
Detail-oriented, methodical, and comfortable operating independently in a remote, asynchronous workflow
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation systems
Familiarity with bioinformatics tools, EHR platforms, or clinical data standards (HL7, FHIR, etc.)
Background in translational research, clinical trials, or population health analytics
Experience working with or evaluating large language models (LLMs) in scientific domains
Why Join Us
Work on cutting-edge AI projects alongside world-leading research labs
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 at the frontier of AI and precision medicine
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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