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Full-Time

Data Scientist

Tempus Discover

Posted on 6/20/2024

Tempus

Tempus

1,001-5,000 employees

AI-enabled precision medicine and analytics

AI & Machine Learning
Data & Analytics

Mid

Chicago, IL, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
Git
SQL
Linux/Unix
Requirements
  • Master's Degree or equivalent experience in data science, computer science, healthcare informatics, statistics, or another related STEM field
  • 2+ years of relevant work experience, preferably involving work with Life Science or Healthcare data in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
  • Strong command of SQL and/or other scripting languages to retrieve data from various bioinformatics databases
  • Strong proficiency in R or Python and/or other programming languages
  • Excellent project management skills, with proven ability to execute complex projects with multiple cross-functional stakeholders
  • Experience with engineering practices for research computing (Docker, Git, and Github, code review, Linux, cloud computing)
  • Thrive in a fast-paced environment and demonstrate ability to communicate technical concepts to non-technical stakeholders
Responsibilities
  • Become an expert in Tempus multimodal clinical and genomic data
  • Leverage Tempus's multi-modal data to identify patient cohorts for academic research partners who are building new machine learning-enabled biomarkers
  • Drive customer-focused improvements to the Tempus data model by collaborating with Tempus’ Data Science, Model Query, and Engineering teams
  • Partner with the RWD Engineering team to design and implement OCR/NLP models for prospective cohort generation
  • Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative database solutions
  • Document, summarize, and communicate data models, highly technical results, and methods to external technical and non-technical audiences.

Tempus specializes in AI-enabled precision medicine, utilizing data and artificial intelligence to accelerate the discovery of novel targets, predict treatment effectiveness, identify clinical trials, and diagnose diseases earlier. The company's analytical machine learning platform leverages expansive clinical and molecular data to enable real-time, data-driven decisions for personalized care and targeted therapies.

Company Stage

Series G

Total Funding

$1.3B

Headquarters

Chicago, Illinois

Founded

2015

Growth & Insights
Headcount

6 month growth

5%

1 year growth

13%

2 year growth

44%
INACTIVE