Careers > Assistant, Associate, or Full Professors in Computational and Systems Biology Research

Assistant, Associate, or Full Professors in Computational and Systems Biology Research

The Organization

As an independent research organization, the Morgridge Institute for Research explores uncharted scientific territory to discover tomorrow’s cures. In affiliation with the University of Wisconsin-Madison, we support researchers who take a fearless approach to advancing human health in emerging fields such as regenerative biology, metabolism, virology and medical engineering. Through public programming, we work to inspire scientific curiosity in everyday life.

This recruitment is part of the Institute’s Metabolism Theme and the larger, campus-wide Metabolism Initiative that aims to enhance the pace, productivity, and international profile of metabolism-related research in Madison. The metabolism community in Madison includes hundreds of scientists spanning diverse areas of organismal biology, biochemistry, genetics, nutritional sciences, and medicine, and is home to world-class capabilities in computational biology, biostatistics, proteomics, and metabolomics.

The Opportunity:

The Morgridge Institute for Research, in partnership with the Department of Biostatistics & Medical Informatics at the University of Wisconsin-Madison, seek outstanding early- to mid-career scientists to lead vibrant computational/systems biology research programs. We are particularly interested in interdisciplinary and collaborative-minded scientists passionate about pursuing data-science strategies such as: using bioinformatics, machine learning, or statistical methods to define functions for poorly understood proteins and processes; developing innovative computational methods for the integration, analysis, and modeling of diverse high-throughput “big data”; and blending computational and experimental approaches to understand biological networks and how essential biological processes are linked to the cellular homeostasis. We place special emphasis on applications of these data science techniques to challenges in metabolism.


Candidates must have a proven track record of high quality research related to computational biology, have outstanding communication skills, and embrace a collaborative and interdisciplinary research culture. Candidates with experience in metabolic research are preferred.

To Apply:

Applicants should submit electronic copies of their curriculum vitae, a 2–3-page description of research vision and future research plans, a 1-page description of teaching experience and future teaching plans, and should arrange for at least three referees to submit letters of recommendation. All materials should be sent to, or be uploaded as one document via the link below. Applications will be accepted until December 15, 2019 or until the position is filled.

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