Position Location
Fort Collins, CO
Work Location
Position is fully in-office/in-person
Posting Number
202500366F
Proposed Annual Salary Range
Assistant $108,750 $118,125 Salary is commensurate with experience and qualifications.
Employee Benefits
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Description of Work Unit
The Department of Clinical Sciences mission is to assure the health and productivity of animals to meet societal needs through high quality educational programs for professional veterinary medical students, graduate veterinarians, and the public through a faculty and veterinary medical center of excellence, and to advance and disseminate comparative biomedical knowledge in an environment of interdisciplinary collaboration.
To ensure full consideration, applications must be received by 11:59pm (MT) on
12/16/2025
Position Summary
The Orthopaedic Research Center at Colorado State University seeks applicants for a 9-month Tenure-Track Assistant Professor position in Machine Learning, Biostatistics and Bioinformatics. The hire has the possibility of being named to the Abigail Kawnanakoa Chair if suitably qualified. The ultimate decision for appointing an endowed Chair resides with the Dean of the College of Veterinary Medicine and Biomedical Sciences (CVMBS). The position will reside in the Department of Clinical Sciences within in the CVMBS and is in partnership with the Translational Medicine Institute. There is the possibility of having an affiliation with the School of Biomedical and Chemical Engineering in the Walter Scott College of Engineering. We invite applications from candidates specializing in artificial intelligence, digital engineering, statistical analysis, machine learning, or bioinformatics to advance interdisciplinary, translational research through externally funded collaborations with scientists, engineers, and veterinary clinician-scientists. Candidates seeking development or continuation of an independent research program in partnership with a dynamic team are sought.
This positions mission and purpose would follow the aligned visions of all collaborative entities, those including but not limited to the Orthopaedic Research Center (ORC), the Translational Medicine Institute (TMI), the School of Biomedical Engineering (SBME), the College of Veterinary Medicine and Biomedical Sciences (CVMBS), and the Walter Scott Jr. College of Engineering Department of Systems Engineering (WSCOE). Collaboration is a central component of our educational and research efforts at CSU, and with our partners around the world. Central pillars to all the aforementioned units missions include the importance of improving the lives of animals, humans, and society through discovery, innovation, and education. As part of the focus on translational research that is both amenable to productization and to repurposing is encouraged. Opportunities for summer salary through research funding are also encouraged. Work authorization visa sponsorship may be available based on the specific situation for the selected final candidate.
A signing bonus may be considered for successful candidates.
Conditions of Employment
Pre-employment Criminal Background Check (required for new hires)
Required Job Qualifications
- PhD in Biomedical Engineering, Data Science, Biostatistics, Bioinformatics, Computational Biology, or a related field, completed by the time of hire
Preferred Job Qualifications
- PhD completed
- Successful candidates will demonstrate a strong commitment to research and teaching, with the potential to develop a strong record of external grant funding.
- Expertise in biostatistics, machine learning, and multi-omics data integration particularly as they relate to imaging and biologic systems.
- Strong programming skills (Python, R, MATLAB).
- Experience with high-performance computing (cloud, local, and server) and large-scale imaging datasets.
- Track record of peer-reviewed publications, conference proceedings, and collaborative research.
- Grant writing experience with internal/external funding as a principal investigator.
- Proven track record of strong collaboration, leadership, and mentorship across all levels, including, undergraduates, graduate students, post-doctoral students, and faculty.
- Excellent communication and interdisciplinary collaboration skills.
- Adept at harnessing data mining and machine learning approaches to address biological inquiries and facilitate the interpretation of high-dimensional data
Special Instructions to Applicants
Interested applicants must submit a cover letter which addresses how professional experiences align with identified required and preferred qualifications of the position, a current resume, and the names, e-mail addresses, and telephone numbers of three (3) professional references by December 16, 2025 for full consideration. References will not be contacted without prior notification of candidates. The posting will remain open until filled. To ensure full consideration, please apply by 12/16/2025.
CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact. If you have questions, please contact Samantha Garcia
[email protected] Background Check Policy Statement
Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.
EEO
Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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