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University Of Nebraska Medical Center

Informatics and Machine Learning Faculty Position - Academic Rank/DOQ

University Of Nebraska Medical Center, Omaha, Nebraska, us, 68197


Informatics and Machine Learning Faculty Position - Academic Rank/DOQ

Location: Omaha, NERequisition Number: 2023-136Department: Neurological Sciences 50001975Business Unit(College/Institute): College of MedicineFTE: 100Reg-Temp: Full-Time RegularWork Schedule: As directed by ChairRequisition Category: FacultyRequisition Title: Informatics and Machine Learning Faculty Position - Academic Rank/DOQJob Title/Academic Rank: Informatics and Machine Learning Faculty Position - Academic Rank/DOQAppointment Type: DOQ - DEPENDS ON QUALSSalary Range: Salary Commensurate with ExperienceJob/EEO Category: FacultyJob Requisition Begin Date: 04/28/2023Position Summary: The University of Nebraska Medical Center (UNMC) aims to hire three (3) tenure-leading faculty members with expertise in different subdisciplines of Informatics, including clinical research informatics, bioinformatics, image informatics, and public health informatics, with an emphasis on Machine Learning (ML) / Artificial Intelligence (AI) approaches. These faculty members will join a rich academic environment with strong links to the healthcare system poised to catalyze clinical and translational research. We anticipate hiring all three positions in 2023-2024. The Informatics Cluster Hire aims to develop increased collaboration across UNMC and with other partners including funding agencies, the healthcare sector, industry, the State of Nebraska, and other government agencies. As faculty members, individuals will be hired into one of the involved departments that is the best fit for their experience and interests. Departments participating in the cluster hire include: Neurological Sciences, Internal Medicine, Pathology and Microbiology, Surgery, Neurosurgery, Radiology, and Pediatrics/Children’s Hospital and Medical Center. These and other departments at UNMC are seeking to expand the existing informatics expertise, forming a team with complementary expertise to address important issues in biomedicine, with access to numerous sources of data. These new faculty and UNMC will promote new levels and forms of collaboration and funding mechanisms, including an infrastructure that encourages scientists from different silos to work together in high impact information science areas and establishes new research programs, offices, and shared space—an “idea factory” for all. We will work together toward a sustainable institutional framework for oversight, assistance, and management services to the critical mass of new hires. Successful candidates will be investigators (MD, DO, PhD, PharmD, DDS or equivalent terminal degrees) with research focused on informatics approaches, the use of electronic health record (EHR) data, large omic datasets or other high-density data generating methods to address high-impact biomedical issues, with an emphasis on clinical or clinical-translational research questions. They will have expertise that includes ML/AI approaches, bioinformatics, clinical research informatics, clinical decision support, population health informatics, and/or the intersection of informatics and health services research. Candidates will be expected to participate in strong, externally-funded research programs in informatics as part of a diverse, interdisciplinary team of researchers and clinicians at UNMC and with the Great Plains IDeA Clinical and Translational Research (GP IDeA-CTR) network, which has rich resources promoting CTR across the region. Candidates will also be expected to assist, evaluate, advise and mentor junior faculty scholars, as well as graduate and medical students regarding research and curricular matters including participation in the Master’s and Ph.D. programs in Bioinformatics and Clinical Informatics. Opportunities for participation in the Computer Sciences programs at the University of Nebraska at Omaha and University of Nebraska at Lincoln are also available. Applicants with expertise/strong interest in technology-enabled approaches to enhancing informatics, healthcare delivery, and disease prevention and treatment in underserved vulnerable populations (e.g. rural, under-insured, minority) are encouraged to apply. Preferred prior experience can include: Methodologic expertise in areas such as machine learning, artificial intelligence, translational bioinformatics (e.g., integrating EHR/omics data), causal inference approaches, and precision medicine approaches. Experience in an academic medical center setting with a working understanding of the clinical, educational, and research missions. Experience working with clinical research data. Experience working with high-throughput multi-omics data. Experience working with clinical image data (MRI, fMRI, MEG, CT, etc.). Expertise in the use, and linking, of various sources of health data including the electronic medical record, administrative/claims data, and/or publicly available datasets. Practical experience in the design, development, adoption, and application of health IT in a variety of clinical and research environments. Track record of accomplishments in biomedical and/or clinical informatics, with corresponding accomplishments in scholarship and peer-reviewed recognition. Experience and expertise in regulatory aspects of clinical research informatics. Record of leadership, project management, and collaboration including the ability to work effectively with administrators, faculty, staff, residents/fellows, and students. Commitment to advancing a culture and climate of diversity and inclusion and serving a diverse population. Analytical skills including use of statistics, with strong problem solving, writing, and oral communication skills. Individuals from diverse backgrounds are encouraged to apply.Required Qualifications: MD, DO, PhD, PharmD, DDS or equivalent. Experience working with or leading an interdisciplinary team of investigators and research personnel in research related to informatics.Supplemental Qualifications: Demonstrated commitment to advancing a culture and climate of diversity and inclusion and serving a diverse population. Experience working with clinical data and/or omic data.Working Environment: Office environmentPhysical Requirement: Sitting over 5 hoursExposures: Atmospheric No, Blood/body fluids No, Chemical hazards No, Working on or around moving machinery No, Electrical current No, Noise No, Changes of temperature/humidity No, Wear PPE No, Work with laboratory animals No, Radiation No, Operating hand/power tools NoFor questions regarding application, please contact UNMC Staffing at jobs@unmc.edu

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