Principal Bioinformatics Data Scientist
Liquid Biopsy
Confirmed live in the last 24 hours
Tempus

1,001-5,000 employees

AI-driven precision medicine through clinical and molecular data analysis
Company Overview
Tempus Labs, Inc. is a leader in precision medicine, leveraging artificial intelligence to analyze vast clinical and molecular data, enabling physicians to deliver personalized, data-driven care. The company's advanced machine learning platform and unique solution sets facilitate the discovery, development, and delivery of optimized therapeutic options for patients. With a focus on extensive molecular profiling, Tempus has developed a robust pan-cancer tumor organoid platform and validated a liquid biopsy assay, demonstrating their commitment to transforming personalized patient care and their position at the forefront of the healthcare industry.
AI & Machine Learning
Data & Analytics

Company Stage

N/A

Total Funding

$1.4B

Founded

2015

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

12%

1 year growth

28%

2 year growth

49%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
R
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Biology & Biotech
Requirements
  • Experience working with Next-Generation Sequencing Data
  • Experience building NGS pipelines in a clinical setting
  • Experience in implementing and parallelizing pipelines in cloud computing environments
  • Expertise in algorithmic development, statistical models, and machine learning techniques
  • Self-driven and works well in interdisciplinary teams
  • Experience leading project teams of scientists and/or software engineers
  • Experience with communicating insights and presenting concepts to a diverse audience
  • Demonstrated knowledge in best-practice coding processes and data change control
  • Strong background in predictive or prognostic algorithm development
Responsibilities
  • Develop novel algorithms and statistical/machine learning models using genetic and epigenetic NGS data to detect highly sensitive biomarkers used to gain insight into cancer variation
  • Design and conduct analyses to improve methylation and variant calling, artifact filtering, quality control systems, variant classification and biomarker discovery
  • Design and execute experiments to support various regulatory submissions
  • Translate molecular insights into predictors and classifiers of therapeutic response and prognosis in clinical cancer care
  • Collaborate with scientists, and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care
  • Lead an interdisciplinary group of bioinformaticians, data scientists, and engineers to translate research into clinically actionable insights for our clients
  • Communicate with outside scientific teams as well as product and scientific leadership
  • Produce high quality and detailed documentation for all projects
Desired Qualifications
  • Must have completed a Ph.D. in genetics, biomedical informatics, or related life sciences areas
  • At least 10 years of postdoc or industry experience
  • Computational skills using Python (preferred) and/or R
  • Experience working in cancer genetics, immunology, and/or biomarker discovery