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, bioinformatics leader with experience and interest in large-scale NGS algorithm/pipeline development and clinical testing development. This position requires experience leading and motivating teams of bioinformatics scientists as well as hand-on scientific programming, relational data systems, algorithms development, and statistical analysis. Top candidates will also have experience in bioinformatics development in an industrial or clinical/pharma setting.

Responsibilities

• Lead a team of bioinformatics scientists focused on the development of germline genetic tests.
• Lead projects and motivate interdisciplinary teams of scientists and engineers.
• Collaborate with scientists, and clinicians to design and develop clinical sequencing tests in order to improve quality of care.
• Design and conduct analyses to improve the identification of genetic variant identification, analysis, and classification from next generation sequencing and clinical data.
• Develop/implement/validate scalable and high-quality analysis pipelines for clinical diagnostics products.
• Communicate with outside scientific teams as well as product and bioinformatics leadership.
• Coach, develop, and retain reports.

Required Experience

• PhD in Computational Biology, Quantitative Genetics, Computer Science, Applied Mathematics, Genomics, Molecular Biology or related areas, or equivalent experience.
• 7+ years of professional experience, including a leadership role in the life sciences industry, preferably building bioinformatics pipelines for clinical tests.
• Computational skills using Python (strongly preferred), Java, C/C++ or other programming languages, databases (SQL), and big data analysis tools (e.g. Spark, BigQuery, etc,).
• Proficiency with tools and algorithms for the analysis of NGS data.

Ideal Candidates Will Possess

• Experience leading projects and teams of bioinformatics scientists or software engineers in a life sciences industry or clinical setting
• Experience in bioinformatics, computer science, quantitative genetics, and/or human genomics.
• Experience with analyzing and processing large-scale next-generation sequencing data.
• Demonstrated programming ability including best-practice coding processes.
• Experience with communicating insights and presenting concepts to a diverse audience.
• Experience in implementing and parallelizing pipelines in cloud computing environments.
• Proficient in utilizing large scale public or proprietary genomics and human genetics databases.
• Self-driven and works well in interdisciplinary teams.
• Track record of publications in related areas is a plus.

#LI-GL1