Scientist, Biological Modeling
Job Description
Passionate about precision medicine and advancing the healthcare industry?
Recent technological advances make it possible for AI to impact clinical care. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver actionable insights to physicians, providing critical information about the right treatments for the right patients at the right time. These insights are also experimentally evaluated in our state of the art Biological Modeling Laboratory to accelerate the development of new therapeutic options for patients. We are seeking a Scientist to augment our novel AI powered organoid therapeutic profiling platforms.
What You’ll Do:
- Work in a collaborative, interdisciplinary team of scientists and technicians on in vitro systems for cancer biology and immunology including spatial transcriptomics and single cell RNA-seq
- Facilitate the application of AI including deep learning algorithm by collaborating with cutting-edge computational biologists, data scientists, and machine learning scientists on experiments and acquisition of high content translational data sets
- Work closely with our strategic pharma partners in discovery and translational research
Qualifications:
- PhD with 5+ years or Master’s with 10+ years of laboratory experience
- Demonstrated expertise in cancer biology and translational research
- Experience with projects involving multidisciplinary teams or collaborations
- Fundamental understanding of cancer pathophysiology and/or immunology
Preferred Candidates will Possess:
- Experience developing protocols, assays, and evaluating new technologies for high content analyses
- Experience in large scale data set analysis from high dimensional data sets such as high throughput screens and arrayed or pooled functional genomic screens
- Proficiency in R and/or Python
- Rigorous attention to detail and ability to coordinate complex experimental procedures and workflows within a multidisciplinary team
Date Posted
09/18/2022
Views
22
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