Research Scientist in Computational Systems Biology
1 day ago
At Jefferson Health, we are seeking a highly skilled Research Associate to join our team in the Department of Pathology and Genomic Medicine. This position offers an exceptional opportunity to contribute to a cutting-edge research project in computational systems biology of autonomic neuroscience and heart failure.
About the RoleThe successful candidate will participate in a multidisciplinary project supported by the National Institutes of Health to study the molecular and cellular mechanisms underlying autonomic circuits driving cardiovascular control in health and disease. As a Research Associate, you will work closely with an interdisciplinary team to develop multiscale computational models of molecular, cellular, tissue, and organismal physiological processes governing neural control of cardiac physiology in heart failure and neuromodulatory therapies.
Responsibilities- Design, implement, and analyze complex computational models using state-of-the-art tools and methods.
- Collaborate with researchers from various disciplinary backgrounds, including pathology, cell and molecular biology, engineering, bioinformatics, and computer science.
- Contribute to the development of innovative research projects and publish results in top-tier scientific journals.
To be considered for this role, you must have a Ph.D. in computational biology, systems engineering, computational neuroscience, physiology, or a related field. A strong background in Matlab, R/BioConductor, or related tools for simulation and analysis of computational models is essential. Experience in artificial intelligence methods for combined physics and deep learning models is a plus.
What We OfferJacksonville, FL-based salary range: $80,000 - $110,000 per year, depending on experience. Benefits include:
- A comprehensive benefits package, including medical, dental, and vision insurance.
- A 401(k) retirement plan with employer matching.
- A generous paid time off policy.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about advancing knowledge in computational systems biology and working in a dynamic research environment, please submit your application.
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