About the Role
What if your expertise in genomic and clinical data could directly shape how AI understands human health — influencing personalized treatments 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 the insights that power next-generation AI models in clinical research and personalized medicine.
This is a fully remote, flexible contract role built for experienced data professionals who know their way around large-scale life sciences and healthcare environments.
- 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 healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support and precision medicine initiatives
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals
- Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
- Contribute to the development of cutting-edge AI models by providing domain expertise in healthcare and life sciences 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 and data governance — you know how to bring messy, complex data into reliable, usable form
- Skilled at translating complex data into meaningful insights for scientific and clinical audiences
- Comfortable operating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Naturally detail-oriented with a systematic approach to data quality and accuracy
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, clinical informatics, or computational biology
- Experience working in regulated healthcare or life sciences environments
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
- Direct exposure to advanced large language models and how they are trained on scientific and clinical domains
- Contribute to AI development that could meaningfully advance personalized medicine worldwide
- Potential for ongoing work and contract extension as new projects launch