What are the responsibilities and job description for the Bioinformatics Scientist, Solid Tumor position at Tempus?
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 bioinformatics scientist with experience and interest in translational cancer research and clinical genomics. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have experience deploying bioinformatics code within a clinical setting.
Duties and Responsibilities:
- Develop and optimize algorithms used to gain insight into cancer variation through analysis of next generation sequencing data
- Design and conduct analysis to evaluate improvements in variant calling, classification, data modeling, and analysis systems.
- Validate oncology assays to orthogonal methods.
- Collaborate with scientists and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care.
- Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
- Produce high quality and detailed documentation for all projects.
Preferred Qualifications:
- A completed Ph.D. in Bioinformatics, Computational Biology, or Genomics or 2 years of relevant experience.
- Computational skills using Python, R, and/or Bioconductor.
Ideal candidates will possess:
- Experience in cancer genomics
- Experience working with next-generation sequencing data
- Experience using workflow languages such as CWL and/or WDL
- Experience using cloud systems such as AWS, Azure, and/or GCP
- Self-driven and works well in interdisciplinary teams
- Experience with communicating insights and presenting concepts to a diverse audience
- Background in predictive or prognostic algorithm development
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