Postdoctoral Scientist -Surgery Chair, Ruppin Lab
Join our team and use your skill with an organization known nationally for excellence in research!
See https:// Eytan Ruppin | About | Cedars-Sinai Medical Center
Our lab is an AI / Machine learning / Computational Oncology lab: Our work is translationally focused, towards realizing our vision of developing new approaches for fast and low-cost prediction of patient response to cancer treatments, democratizing precision oncology. Towards that, we have focused on two main domains: (A) Complementing costly and time-consuming tumor sequencing approaches with AI-inferred key tumor omics information directly from tumor histopathology slides, and (B) AI inference of low-cost sequential biomarkers of immunotherapy and toxicity directly from the patient’s blood. Importantly, our main challenge in the next few years is to bring these approaches to the clinic, from bench to bedside.
Are you ready to be a part of breakthrough research?
The Postdoctoral Scientist will perform routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools. Analyzes, interpret data and applies AI tools for downstream translational analyses. Is expected to assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds.
Primary Duties and Responsibilities:
- Is expected to assist in the preparation of grant proposals, but is not responsible for generating grant funds.
- Will participate in publications and presentations as author or co-author.
- Designs and performs computational analyses. Will keep appropriate research records and documentation and analyze the results with the PI.
- Analyzes, interprets, summarizes, and compiles data.
Qualifications
Education:
PhD is required in a computational / AI field (Computational biology, Bioinformatics, CS, Math, Physics.
Experience and Skills:
- Excellent written and oral communication skills are essential.
- Knowledge of safety standards.
- Highly preferred candidates have a combination of computational/AI expertise and deep knowledge of cancer and biology.
