Bioinformatics Scientist, Solid Tumor at Tempus

Redwood City, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, BiotechnologyIndustries

Requirements

Highly motivated and capable with experience in translational cancer research and clinical genomics
Experience with scientific programming, relational data systems, algorithms development, and statistical modeling
Experience deploying bioinformatics code within a clinical setting (top candidates)
A completed Ph.D. in Bioinformatics, Computational Biology, or Genomics or 2+ years of relevant experience (preferred)
Computational skills using Python, R, and/or Bioconductor (preferred)
Experience in cancer genomics (ideal)
Experience working with next-generation sequencing data (ideal)
Experience using workflow languages such as CWL and/or WDL (ideal)
Experience using cloud systems such as AWS, Azure, and/or GCP (ideal)
Self-driven and works well in interdisciplinary teams (ideal)
Experience with communicating insights and presenting concepts to a diverse audience (ideal)
Background in predictive or prognostic algorithm development (ideal)

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 clients
Produce high quality and detailed documentation for all projects

Skills

Python

Bioconductor

Next-generation sequencing

Cancer genomics

Variant calling

Statistical modeling

AWS

Azure

CWL

WDL

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

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