What are the responsibilities and job description for the Precision Medicine Data Lead position at Alignerr?
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 millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help bridge complex healthcare datasets and cutting-edge AI — transforming raw genomic, biomarker, and clinical data into insights that power the next generation of medical AI models.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, life sciences analytics, or precision medicine. You'll work alongside world-leading AI research teams and contribute to projects that sit at the intersection of genomics, clinical research, and artificial intelligence.
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 help bridge complex healthcare datasets and cutting-edge AI — transforming raw genomic, biomarker, and clinical data into insights that power the next generation of medical AI models.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, life sciences analytics, or precision medicine. You'll work alongside world-leading AI research teams and contribute to projects that sit at the intersection of genomics, clinical research, and artificial intelligence.
- 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 data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
- Evaluate and annotate healthcare and genomic data to ensure quality, accuracy, and suitability for AI model training
- Collaborate with clinicians, researchers, and technical teams to align data strategy with scientific goals
- Ensure data governance, regulatory compliance, and clear communication of findings to both technical and non-technical stakeholders
- Identify gaps in data quality and recommend improvements to evaluation and annotation systems
- 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 clinical or scientific insights
- Comfortable navigating cross-functional environments that include clinical, research, and engineering teams
- Able to operate independently and deliver high-quality work in regulated or highly technical settings
- Sharp communicator who can make complex data concepts accessible to diverse audiences
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with LLM training workflows or AI model development pipelines
- Background in bioinformatics, clinical informatics, or translational research
- Experience working with EHR systems, genomic databases, or biobank datasets
- 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
- Gain direct exposure to advanced LLMs and how they are trained on specialized scientific data
- Contribute to AI development that has real-world implications for healthcare and personalized medicine
- Potential for ongoing work and contract extension as new projects launch
Salary : $40 - $80