This is a fully remote, flexible contract role designed for experienced data professionals with a ... Background in bioinformatics, translational research, or clinical informatics * Experience ...
This is a fully remote, flexible contract role designed for experienced data professionals with a ... Background in bioinformatics, translational research, or clinical informatics * Experience ...
Bioinformatic Remote information
What is the difference between Bioinformatic Remote vs Bioinformatics Technician?
| Aspect | Bioinformatic Remote | Bioinformatics Technician |
|---|---|---|
| Credentials | Bachelor's or Master's in Bioinformatics, Computer Science, or related fields | Associate's or Bachelor's in Bioinformatics, Biology, or related fields |
| Work Environment | Remote, often from home or flexible locations | Laboratory or office-based, on-site work |
| Employer & Industry | Research institutions, biotech companies, academia, often remote roles | Hospitals, research labs, biotech firms, typically on-site |
| Work Focus | Data analysis, software development, computational research | Sample processing, data collection, laboratory tasks |
In summary, Bioinformatic Remote roles focus on computational data analysis and software tasks often performed remotely, while Bioinformatics Technicians typically work on laboratory-based sample processing and data collection on-site. Both roles require related credentials but differ mainly in work environment and daily responsibilities.
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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 guide the integration, governance, and transformation of complex healthcare and genomic datasets - powering the next generation of AI models built for clinical research and precision health.
This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly influence how cutting-edge AI systems reason about biomedical data.
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 guide the integration, governance, and transformation of complex healthcare and genomic datasets - powering the next generation of AI models built for clinical research and precision health.
This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly influence how cutting-edge AI systems reason about biomedical data.
- 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 transform complex, integrated datasets into actionable insights for precision medicine, clinical decision support, and advanced research initiatives
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and governance best practices
- Translate highly technical findings into clear, meaningful outputs for diverse stakeholder audiences
- Apply your domain expertise to evaluate and improve AI-generated outputs related to healthcare and genomics data
- 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 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 an asynchronous, remote setting
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with regulatory frameworks in healthcare data (e.g., HIPAA, GDPR, FDA guidelines)
- Background in bioinformatics, translational research, or clinical informatics
- Experience communicating complex scientific findings to non-technical stakeholders
- Work on cutting-edge AI projects alongside the world's leading AI research labs
- Fully remote and flexible - work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute to AI development that could transform how precision medicine is practiced at scale
- Potential for ongoing work and contract extension as new projects launch