Computational Variant Scientist
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 seeking a highly motivated and capable computational variant scientist with extensive experience and interest in translational cancer research. This position requires experience in exome or whole genome NGS sequence analysis, variant interpretation and prioritization and an understanding of cancer biology and human genetics. Top candidates will also have experience translating research findings into clinically relevant and actionable information.
Responsibilities include:
- Conduct and design studies to interpret and classify observed variants with the objective to identify novel genetic biomarkers relevant to clinical cancer care and provide insights into basic tumor biology. These studies involve analyses of data from candidate genes and genome-wide sequence data across both DNA and RNA.
- Utilize a variety of computational tools to analyze sequencing variants from NGS data
- Help develop and validate novel computational tool(s) for clinical genomics platform
- Work independently and with other teammates in an interdisciplinary setting
- Effectively communicate project updates and key findings in weekly progress meetings
- Participate in research and development of new gene panels and tests, and updates to existing tests
Qualifications:
- PhD degree in Human Genetics, Cancer Genetics, Biological Sciences or a relevant quantitative discipline (eg bioinformatics, computational biology, statistical genetics, etc)
- Proficient in statistical programming tools such as R, Bioconductor, or Python, scripting (Perl, Bash) and SQL in Linux/Unix environment
- Familiarity with human mutation databases, genome browsers, and HGVS nomenclature
- Demonstrated attention to detail, excellent communication and writing skills
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