Sr. Bioinformatics Scientist
Veracyte · Israel · US
Clinical Data Science
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit45
Remote potential60
5-year outlook
Strong growth potential in the genomics sector, with competitive compensation for senior bioinformatics scientists. Exact figures vary by location and experience, but the field is expanding rapidly.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-09-14
Intelligence details
Why this is worth applying to
Clinicians with advanced computational and genomics skills should consider this role as a high-impact pivot into cancer diagnostics R&D. However, it requires a strong bioinformatics background and is not a typical non-clinical transition for most clinicians.
Who should apply
Physicians or healthcare professionals with a PhD in bioinformatics, computational biology, or related fields, or those with substantial hands-on genomics data analysis experience.
CV angle
Emphasize any clinical genomics research, experience with WGS or NGS data, Python programming, machine learning projects, and cross-functional collaboration with clinical teams. Frame clinical experience as domain expertise that informs algorithm development.
Skills to highlight
- WGS data analysis
- Python programming
- Machine learning / deep learning
- Genomics algorithm development
- Pipeline engineering
- Statistical analysis
- Cancer genomics
- Cross-functional collaboration
Role summary
Senior bioinformatics scientist at Veracyte, developing algorithms and pipelines for cancer genomics using WGS data, machine learning, and statistical modeling to improve diagnostic products.
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