What are the responsibilities and job description for the Computational Medicine and Biomedical Data Science position at ScienceCast, Inc?
Job position at Northeastern University, Portland, ME . Deadline is on September 6, 2023 .
Computational Medicine and Biomedical Data Science
Job Summary
Northeastern University’s The Roux Institute invites applications for multiple Research Professor and Roux Institute Member positions in the fields of Computational Medicine and Biomedical Data Science. Successful applicants will be based at The Roux Institute in Portland, Maine. The faculty title is open rank. These are unique positions that offer a period of guaranteed salary support and startup funds commensurate with level of appointment.
The Research Professor (open rank) at the Roux Institute at Northeastern University will be responsible for the growth of an independent research program positioned in the fields of Computational Medicine and Biomedical Data Science, coordinated under the umbrella of the Life Science and Medicine Research vertical directed by Dr. Raimond Winslow. Besides the faculty title of “Research Professor (open rank)”, the successful candidate will be named as an “Institute Member” at the Roux Institute. The Research Professor will contribute to a portfolio of highly matrixed collaborations with contributors on the Institute campus in Portland, ME, and beyond. Collaborators will include faculty and professional research staff at The Roux Institute, faculty across the Northeastern network, and industry researchers who may be co-located at the Institute or located at their own company.
If you want to know about the requirements for this role, read on for all the relevant information.
Qualifications
The successful applicant will have experience in :
- Developing computational models of disease at the level of molecular networks and physiological function, constraining these models using patient data, and applying these personalized models to predict outcomes and guide therapies. Modeling approaches can include dynamical systems modeling, control theoretic analyses, and machine learning.
- Developing data-driven, machine learning based methods for clinical decision support in broad areas of medicine and healthcare.
Candidates should have a PhD or other terminal degree in engineering or a related field, with experience level appropriate for appointment at the rank of Research Assistant Professor, Research Associate Professor, or Research Professor. Candidates should have collaborative leadership skills; strong communication skills across diverse audiences and settings; an ability to work in a fast-paced and innovative setting; and experience in working independently and as a member of a team. More senior candidates should have a demonstrated track record of scholarly achievement in relevant areas of engineering, with a research funding history commensurate with level of appointment.
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