Engineering Lead
Analytics Platform
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

Series G

Total Funding

$1.3B

Founded

2015

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

7%

1 year growth

28%

2 year growth

50%
Locations
Chicago, IL, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Agile
Data Science
BigQuery
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Experience managing software development teams
  • Technical analysis & design
  • Evaluation of tradeoffs
  • Establishing best practices
Responsibilities
  • Deliver a scalable data platform for bioinformatics and machine learning workflows
  • Build and contribute to a team culture of learning and continuous improvement
  • Collaborate with scientific subject matter experts to understand scientific workflows and translate them into technical implementation
Desired Qualifications
  • Experience with Kubernetes, BigQuery, or GCP's Machine Learning infrastructure
  • Experience in biotech, genomics, clinical research, and precision medicine
  • Built a platform to enable data science teams self-service capabilities supporting an applied machine learning workflow
  • Worked in fast-paced, agile environments and helped keep projects on track across multiple teams