Join to apply for the Senior Bioinformatics Scientist role at Tempus AI Join to apply for the Senior Bioinformatics Scientist role at Tempus AI Get AI-powered advice on this job and more exclusive features. Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are looking for a highly motivated and capable senior bioinformatics scientist with extensive experience and interest in developing cutting edge assays and algorithms in the liquid biopsy space (including molecular residual disease testing, therapeutic response monitoring, therapy selection, complete genomic profiling, and diagnostics). 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 Qualifications 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
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