Open Rank- Assistant, Associate, Professor

University of Colorado•Aurora, CO

1d•$145,000 - $229,787•Hybrid

About The Position

The Department of Biomedical Informatics (DBMI) at the University of Colorado School of Medicine is seeking faculty members to strengthen its presence in artificial intelligence (AI). This is an open search, and multiple hires are anticipated. Successful applicants will possess expertise in AI and machine learning, leading independent research programs that develop and apply computational approaches with the potential to achieve measurable benefits to health care. Hiring is organized around two areas: 1) methods of AI, and 2) broader areas of biomedical informatics impacting clinical focus areas. For AI methods, candidates with expertise in building methods that learn across imaging, waveform, video, language, structured electronic health records, and biological data are sought. Translational potential should be apparent, though demonstrated impact on clinical focus areas is not required at recruitment. For broader biomedical informatics, work should show demonstrable impact in one or more clinical focus areas: Cancer, Neuroscience, Cardiovascular health, Musculoskeletal health and orthopedics, or Transplant. The DBMI and CU Anschutz campus offer a strong environment for development and translation through connections to health systems (Children’s Hospital Colorado, UCHealth, Colorado VA), the University of Colorado Cancer Center, Colorado Center for Personalized Medicine, and the Colorado Clinical and Translational Sciences Institute. The ideal candidate will lead studies closing the loop from lab to clinical care, mentor trainees, and contribute to campus resources.

Requirements

PhD in biomedical informatics or a related technical field (e.g., computer science, engineering, physics, applied mathematics, statistics) OR MD/DO plus graduate degree in an appropriate technical field
A track record of accomplishments consistent with appointment to an Assistant Professor position in DBMI in the CU SOM
A track record of accomplishments consistent with appointment to an Associate Professor position in DBMI in the CU SOM
A track record of accomplishments consistent with appointment to a Professor position in DBMI in the CU SOM
Rank at the time of appointment will be based on the candidate’s demonstrated contributions and experience in teaching, clinical, research, and/or service to the field.
Self-motivation, responsibility, and dedication
Exceptional team-orientation and ability to work with multidisciplinary teams at all levels
Excellent verbal, written, and interpersonal communication skills.
Ability to respectfully lead and supervise others to achieve high productivity
Strong motivation to collaborate with investigators in multiple different domains

Nice To Haves

Research accomplishments and publications that integrate two or more data modalities, such as imaging, waveform, video, free text, structured electronic health record data, or molecular data
Development and publication of biomedical informatics approaches in one or more of the department's areas of clinical focus: cancer, neuroscience, cardiovascular health, musculoskeletal health and orthopedics, or transplant
Evidence of success competing for extramural research support appropriate to career stage, such as training or career development awards for candidates at the Assistant Professor level and independent research project funding at the Associate Professor or Professor level
Software, tools, or systems adopted beyond the candidate's own group, evidenced by documented external use, contributors, or deployment
Sustained collaboration with clinical investigators, evidenced by co-authored publications or named roles on funded projects with clinical partners

Responsibilities

Develop and lead an independent research program with external support
Develop novel methods or strategies to apply AI, computation, and technology to medicine
Individually and in collaboration with multidisciplinary teams, obtain external funding and publish impactful manuscripts.
Mentor pre- and post-doctoral non-clinical and clinical trainees.