Location: Chicago
Company: Tempus
critical information about the right treatments for the right patients, at the right time. 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 for our expanding liquid biopsy portfolio (including diagnostics, therapy selection, molecular residual disease testing and therapeutic response monitoring).
We are looking for a highly motivated and capable Bioinformatics Scientist with
extensive experience and interest in translational cancer research and genomics algorithm development. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling.
Top candidates will also have leadership experience in NGS pipeline development in a clinical setting. Responsibilities: Develop algorithms used to gain insight into cancer variation through analysis of next generation sequencing data. Design and conduct analysis to improve variant calling, classification and analysis systems. Design and execute experiments to support various regulatory submissions. Collaborate with scientists, and clinicians to design
and perform analyses on cancer clinical sequencing data in order to improve quality of care.
Work in an interdisciplinary group of scientists and engineers to translate research into clinically actionable insights for our clients. Communicate with outside scientific teams as well as product and bioinformatics leadership. Produce high quality and detailed documentation for all projects. Preferred Qualifications: A completed Ph. D. in Cancer Biology or Molecular Biology related to cancer or relevant experience. Computational skills using Python and/or R. Ideal candidates will possess: Experience in cancer genetics, immunology, and/or molecular biology. Experience working with Next-Generation Sequencing Data.
Experience building NGS pipelines in a clinical setting. Self-driven and works well in interdisciplinary teams. Experience with communicating insights and presenting concepts to a diverse audience. Strong demonstrated programming ability. Background in predictive or prognostic algorithm development. #LI-EH1 #LI-Hybrid #LI-Remote We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, interactionual orientation, age, marital status, veteran status, or disability status.
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Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
