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Cedars-Sinai Cardiology - Center for Cardiac Arrest Prevention- Computational Research Scientist Faculty in Los Angeles, California

The Smidt Heart Institute at Cedars-Sinai Medical Center invites applications for a Research Scientist faculty position to join the Center for Cardiac Arrest Prevention (CCAP) within the Cedars-Sinai Smidt Heart Institute, directed by Dr Sumeet Chugh. Academic packages/Professorial series appointment available commensurate with track record of publications and research funding.

Cedars-Sinai is the largest academic medical center in the West. In 2022 Cedars-Sinai is ranked #2 in the nation and #1 in California by U.S. News and World Report and ranked #3 in Cardiology and Heart Surgery. Cedars-Sinai also ranked in the Top 10 Nationally in NIH Funding among independent hospitals in the United States.

Cedars-Sinai Medical Center is one of the largest and fastest-growing non-profit academic medical centers in the U.S. Discovery is a core value to Cedars-Sinai’s mission. The institution’s laboratories and clinics generate ideas, therapies, devices and systems that contribute to biomedical progress around the world. More than 2,000 current research projects explore the full breadth of biomedical research. Examples include investigating how high-fat diets may promote liver cancer as well as the effects of near weightlessness on iPSCs in conjunction with NASA, connections among diabetes and chronic pancreatitis and pancreatic cancer, and the genetic underpinnings of disease, exploiting the potential of stem cells, leveraging nanotechnology, parsing big data, and assessing how gender and metabolism impact health. During the last five years, Cedars-Sinai has doubled its federal awards. In Fiscal Year 2021-2022, Cedars-Sinai ranked 9th nationally in NIH funding among independent hospitals.

FY22 Cedars-Sinai Research Metrics:

  • 320 Principal Investigators

  • 2,800+ publications

  • 2,000+ research projects

  • 597 active clinical trials

  • $232Million in Research Expenses

  • 5 T32 Training Grants in Cancer, Endocrinology, Heart, Pulmonary and Graduate Program

Cedars’ robust technology transfer program includes $14.4 million in revenue with 73 invention disclosures, 189 patents filed and 18 licenses.

Cedars-Sinai is in Southern California, surrounded by mountain ranges, valleys, forests, beautiful beaches along the Pacific Ocean, and nearby desert. L.A. is the entertainment capital of the world, a cultural mecca boasting more than 300 museums, and a paradise of beautiful weather. Diversity extends beyond geography to include one of the most ethnically and culturally diverse populations of any large city. In fact, Los Angeles is one of only two U.S. cities without a majority population. People from 140 countries speaking approximately 86 different languages call Los Angeles home.

Our compensation philosophy

We offer competitive total compensation that includes pay, benefits, and other incentive programs for our employees. The base pay range shown above takes into account the wide range of factors that are considered in making compensation decisions including knowledge/skills; relevant experience and training; education/certifications/licensure; and other business and organizational factors. This base pay range does not include our comprehensive benefits package and any incentive payments that may be applicable to this role.

Pay Range: $71,094 - $265,200


  • Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields

  • Proficiency in conventional machine learning and deep learning methods, and computer programming languages of Python, C++, and Java, deep learning framework of Tensorflow, PyTorch, Keras, or PyCaffe.

  • Expertise in statistics (particularly causal inference) is preferred

  • Four (4+) years of programming experience.

  • Eligible for appointment to the appropriate academic rank in the CSMC Professorial Series.

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.