University of Utah
Associate Professor/Professor in Computational Oncology
University of Utah, Salt Lake City, Utah, United States, 84193
Associate Professor/Professor in Computational Oncology
Please see Special Instructions for more details.If you have questions, please contact Chris Johnson (crj@sci.utah.edu), Search Committee Chair.The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty, and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.Position InformationProposed Faculty Rank:
Associate Professor/ProfessorDepartment:
00051 - College of Engineering-DeanCity:
Salt Lake City, UTTrack:
New Position to BeginNew Position to Begin:
7/1/2024Details:The Scientific Computing and Imaging (SCI) Institute at the University of Utah is growing and pursuing
multiple new faculty hires over the next 3 years . These hires will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing. A major goal is to attract new partnerships across the University and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest, as are candidates who can contribute to the University’s diversity.This specific recruitment is for a senior-level tenure track faculty position within the SCI Institute as part of a new faculty Cluster in Computational Oncology (CCO). Advanced computing, data science, imaging, and visualization are central to solving fundamental problems in cancer research and care. CCO is a highly innovative collaboration between
Huntsman Cancer Institute, the University of Utah’s Comprehensive Cancer Center
and the Scientific Computing and Imaging Institute at the University of Utah. Together we leverage our internationally renowned research strengths to make lifesaving advances in the prevention, detection, diagnosis, and treatment of cancer.Initial hires as part of the CCO will consist of two senior positions, including 1) the Senior Director for Data Science at Huntsman Cancer Institute in the Department of Oncological Sciences ( hired in 2022 ) and 2) this position, a Computational Oncology leader within the SCI Institute. The academic home will be within a department in the College of Engineering, Medicine, or Science. These two senior hires will be followed by multiple junior faculty positions.For the Computational Oncology leader position, the SCI Institute is looking for an established researcher at the Associate or Full Professor level in an area that aligns with SCI’s core research thrusts, i.e., scientific, information, and biomedical visualization, image and data analysis, and interdisciplinary scientific computing, with demonstrated leadership in applications to Oncology. Candidates whose research expertise integrates social and technical aspects are of particular interest, as are candidates who can contribute to the University’s diversity. The successful candidate is expected to help coordinate joint initiatives, proposals, and faculty recruitment between the SCI Institute and HCI including the Computational Oncology Research Initiative (CORI) and other Cancer Informatics initiatives. The faculty member is expected to become a Cancer Center member, and as appropriate, may be considered for an adjunct position in the Department of Oncological Sciences.All candidates are invited to submit a curriculum vitae, a cover letter containing a description of professional experience (including scientific accomplishments, leadership responsibilities, and 3 references), a research plan (up to 3 pages), and teaching strategy (up to 1 page). Applicants should describe their vision for interdisciplinary, computational oncology research leadership within the context of the SCI Institute’s mission of multidisciplinary bridge building ( http://www.sci.utah.edu/the-institute/bridges.html ), especially collaborations with researchers within the Huntsman Cancer Institute.The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.About the SCI InstituteOver more than two decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. For example, the SCI Institute is ranked by CSRankings ( http://csrankings.org ) as housing the top visualization and High Performance Computing group internationally. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, and Medtronic. Additional information about the Institute and current faculty can be found at
http://www.sci.utah.edu.About the University of UtahThe University of Utah is in Salt Lake City, the hub of a large metropolitan area with excellent cultural and recreational opportunities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the nation’s fastest-growing technology sectors; the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.EEO/Non-Discrimination InformationAll qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106.To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at:https://www.utah.edu/nondiscrimination/Online reports may be submitted at oeo.utah.eduRequired DocumentsCover LetterCurriculum VitaeTeaching StatementResearch StatementOpen Date: 09/08/2023Close Date: Open Until FilledRequisition Number: PRN01093CFType: Faculty
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Please see Special Instructions for more details.If you have questions, please contact Chris Johnson (crj@sci.utah.edu), Search Committee Chair.The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty, and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.Position InformationProposed Faculty Rank:
Associate Professor/ProfessorDepartment:
00051 - College of Engineering-DeanCity:
Salt Lake City, UTTrack:
New Position to BeginNew Position to Begin:
7/1/2024Details:The Scientific Computing and Imaging (SCI) Institute at the University of Utah is growing and pursuing
multiple new faculty hires over the next 3 years . These hires will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing. A major goal is to attract new partnerships across the University and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest, as are candidates who can contribute to the University’s diversity.This specific recruitment is for a senior-level tenure track faculty position within the SCI Institute as part of a new faculty Cluster in Computational Oncology (CCO). Advanced computing, data science, imaging, and visualization are central to solving fundamental problems in cancer research and care. CCO is a highly innovative collaboration between
Huntsman Cancer Institute, the University of Utah’s Comprehensive Cancer Center
and the Scientific Computing and Imaging Institute at the University of Utah. Together we leverage our internationally renowned research strengths to make lifesaving advances in the prevention, detection, diagnosis, and treatment of cancer.Initial hires as part of the CCO will consist of two senior positions, including 1) the Senior Director for Data Science at Huntsman Cancer Institute in the Department of Oncological Sciences ( hired in 2022 ) and 2) this position, a Computational Oncology leader within the SCI Institute. The academic home will be within a department in the College of Engineering, Medicine, or Science. These two senior hires will be followed by multiple junior faculty positions.For the Computational Oncology leader position, the SCI Institute is looking for an established researcher at the Associate or Full Professor level in an area that aligns with SCI’s core research thrusts, i.e., scientific, information, and biomedical visualization, image and data analysis, and interdisciplinary scientific computing, with demonstrated leadership in applications to Oncology. Candidates whose research expertise integrates social and technical aspects are of particular interest, as are candidates who can contribute to the University’s diversity. The successful candidate is expected to help coordinate joint initiatives, proposals, and faculty recruitment between the SCI Institute and HCI including the Computational Oncology Research Initiative (CORI) and other Cancer Informatics initiatives. The faculty member is expected to become a Cancer Center member, and as appropriate, may be considered for an adjunct position in the Department of Oncological Sciences.All candidates are invited to submit a curriculum vitae, a cover letter containing a description of professional experience (including scientific accomplishments, leadership responsibilities, and 3 references), a research plan (up to 3 pages), and teaching strategy (up to 1 page). Applicants should describe their vision for interdisciplinary, computational oncology research leadership within the context of the SCI Institute’s mission of multidisciplinary bridge building ( http://www.sci.utah.edu/the-institute/bridges.html ), especially collaborations with researchers within the Huntsman Cancer Institute.The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.About the SCI InstituteOver more than two decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. For example, the SCI Institute is ranked by CSRankings ( http://csrankings.org ) as housing the top visualization and High Performance Computing group internationally. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, and Medtronic. Additional information about the Institute and current faculty can be found at
http://www.sci.utah.edu.About the University of UtahThe University of Utah is in Salt Lake City, the hub of a large metropolitan area with excellent cultural and recreational opportunities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the nation’s fastest-growing technology sectors; the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.EEO/Non-Discrimination InformationAll qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106.To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at:https://www.utah.edu/nondiscrimination/Online reports may be submitted at oeo.utah.eduRequired DocumentsCover LetterCurriculum VitaeTeaching StatementResearch StatementOpen Date: 09/08/2023Close Date: Open Until FilledRequisition Number: PRN01093CFType: Faculty
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