RWE Clinical Data Scientist
Sales Solutions
Posted on 1/21/2023
INACTIVE
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
↑ 6%1 year growth
↑ 26%2 year growth
↑ 49%Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
R
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
- Education to Masters or PhD level combining quantitative and/or computational skills (Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Cancer Biology, or similar)
- Highly proficient in R programming
- Knowledge of the pharmaceutical industry and the drug development process
- Experience in the design and analysis of pre- and/or post-market clinical trials
- Understanding of HEOR/real-world evidence generation studies
- Strong communication skills in a client-facing environment
- Thrive in a fast-paced environment and willing to shift priorities seamlessly
Responsibilities
- Design clinical and molecular data analytics solutions in consultation with biotech and pharma scientific leaders and Tempus RWE Scientists
- Serve as the technical and scientific expert on client calls
- Become an expert in Tempus multimodal clinical and genomic data
- Query the Tempus database to assess cohort feasibilities and create proof of concepts
- Work with business development teams develop proactive data packages to drive sales
- Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities across drug discovery portfolios
- Document, summarize and communicate highly technical results and methods clearly to non-technical audiences
- 10% Travel
Desired Qualifications
- Experience in SQL and establishing database connections within a R session
- Strong peer-reviewed publication record
- Experience working with real world evidence clinical cancer data
- Experience working with unstructured clinical and molecular data