Summary
Join Tempus, a leader in precision medicine, and contribute to the advancement of healthcare through AI. As a Senior Bioinformatics Scientist, you will develop cutting-edge assays and algorithms for liquid biopsy analysis. You will leverage your expertise in NGS data analysis, statistical modeling, and machine learning to extract key insights from large datasets. This role requires a Ph.D. in a relevant field and 5-10 years of experience. You will collaborate with scientific teams and lead projects, mentoring junior scientists. Tempus offers a competitive salary and a comprehensive benefits package, including incentive compensation and stock units.
Requirements
- Must have completed a Ph.D. in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science
- At least 5-10 years of industry or academic experience
- Computational skills using Python and/or R
- Proven scientific reputation as demonstrated by scientific publication and/or contribution to successful product development in industry
- Expertise in developing NGS pipelines using contemporary tools for processing and analyzing NGS data (including epigenetics, DNA, RNA) within a high performance computing environment
- In-depth knowledge of creating statistical models and developing predictive or prognostic algorithms
- Demonstrated effective communication and presentation skills
- Self-driven and works well in interdisciplinary teams
Responsibilities
- Develop novel assays, algorithms, machine learning and statistical models to detect oncology related biomarkers from cell free next-generation sequencing (NGS) data
- Design and conduct analyses applying deep genomic and epigenomic knowledge to derive key insights from large multi-modal datasets
- Design and execute experiments to characterize performance and support various regulatory submissions
- Produce high quality and detailed documentation for all projects
- Communicate results with other scientific teams as well as product and bioinformatics leadership
- Lead, mentor and/or train other scientists and engineers
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits
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