Assistant to Associate Professor DOQ

University of Utah; Salt Lake City (UT); On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a passionate cancer data scientist to join their innovative team. This exciting tenure-track position focuses on advancing cancer research through deep learning and artificial intelligence. The successful candidate will establish an independent research program, contribute to exceptional teaching, and collaborate with leading researchers in a state-of-the-art environment. If you're committed to making a difference in cancer research and have a strong background in AI, this role offers a unique opportunity to impact patient outcomes and drive advancements in the field.

Qualifications

• Ph.D. in relevant field required with expertise in AI and deep learning.
• Strong publication record and ability to secure funding is essential.

Responsibilities

• Lead independent research in cancer data science using AI and deep learning.
• Develop and teach graduate-level courses in cancer data science.

Skills

Deep Learning

Artificial Intelligence

Medical Image Analysis

Collaboration

Communication

Education

Ph.D. in Computer Science

Ph.D. in Data Science

Ph.D. in Biomedical Engineering

Job description

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 Information

Position/Rank: Assistant to Associate Professor DOQ

Department: 00222 - Oncological Sciences

City: Salt Lake City, UT

Track: New Position to Begin

Details:

The Department of Oncological Sciences and Huntsman Cancer Institute (HCI) invite applications for tenure-track faculty positions at the assistant or associate professor levels. We seek an outstanding cancer data scientist who will complement existing strengths in the Department in transcriptional regulation, cell signaling, epigenetics, cancer genetics, stem cell biology, genetically-engineered mouse, zebrafish models of cancer, apoptosis, DNA repair, cell motility, cancer metabolism, cancer data science and immuno-oncology. In addition, HCI has four exceptional Cancer Center Research Programs encompassing the continuum of cancer research from basic, translational, clinical and population sciences. HCI provides an outstanding environment, with state-of-the-art facilities, excellent shared resources, access to clinical samples for research, and NCI Comprehensive Cancer Center designation in a collegial and collaborative Department culture.

This tenure-track position is dedicated to advancing cancer research through expertise in cancer data science, focusing on deep learning, artificial intelligence (AI), generative AI, large language models (LLMs), medical image analysis, digital oncology, and multi-omics data integration. The successful candidate will establish an independent, well-funded research program, contribute to exceptional teaching in our graduate programs, and actively collaborate with bench and clinical researchers across HCI and the broader university. This position will be hired into the Cluster of Computational Oncology, a highly innovative collaboration between HCI and the Scientific Computing and Imaging (SCI) 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.

Responsibilities:

1. Develop and lead an independent research program focused on applying deep learning and AI to address critical challenges in cancer research, including the leveraging medical image analysis (pathological and/or MRI/CT scan images) and generative AI.
2. Secure strong extramural funding and generate high-quality peer-reviewed research articles.
3. Contribute to the teaching mission of the department by developing and delivering graduate-level courses in cancer data science and related fields.
4. Mentor and guide students and fellows in their research endeavors.
5. Actively collaborate with bench and clinical researchers at HCI and across the university to translate research findings into clinical applications and improve patient outcomes.
6. Participate in departmental and university service activities, and uphold HCI’s values.

Qualifications:

1. Ph.D. in Computer Science, Data Science, Biomedical Engineering, or related field.
2. Demonstrated expertise in deep learning and AI methodologies. Experience in medical image analysis, particularly applied to cancer research (pathology, MRI, CT scans) preferred.
3. Ability to secure extramural funding, and a strong publication record in peer-reviewed journals.
4. Excellent communication, collaboration, and interpersonal skills.
5. Commitment to teaching and mentoring students, and in supporting learners of all backgrounds.
6. Alignment with the values of the HCI and the University of Utah.

Applicants for Assistant Professor are expected to hold a PhD or MD/PhD (or equivalent), to have excelled in their postdoctoral training and to have a track record of impact and research productivity. Applicants for senior positions should additionally have a proven record of independent funding, leadership and innovative research.

For additional questions, please contact the Search Committee Chair, Dr. Aik Choon Tan [e-mail]. Candidates should submit a curriculum vitae, a cover letter containing a description of professional experience (including scientific accomplishments, leadership responsibilities and 3 references), and a 3-page research plan. We encourage applications from candidates of all backgrounds.

Quicklink for posting: https://utah.peopleadmin.com/postings/172824

The University of Utah Health (U of U Health) is a patient focused center distinguished by collaboration, excellence, leadership, and respect. The U of U Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, acceptance, integrity, quality, and trust that is integral to our mission.

EEO/Non-Discrimination Information: All 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/

Notice: The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at [phone] for information.

This position may require the successful completion of a criminal background check and/or drug screen and immunizations. https://safety.utah.edu/safetyreport

Special Instructions for Candidates:

Open Date:

Close Date:

Open Until Filled: Yes

Requisition Number: PRN03682F

Type: Faculty

Posting Specific Questions

Required fields are indicated with an asterisk (*).

• One measure of faculty diversity at the School of Medicine is the proportion of faculty members who come from a rural background. Did you graduate high school from a town with less than 10,000 persons?
  • Yes
  • No

Required Documents:

• Cover Letter
• Curriculum Vitae
• Research Statement

Optional Documents:

• Historical Only – Do Not Use – See Description for More Information – Appropriate discharge document (such as DD-2214) – Veteran Only
• Historical Only – Do Not Use – See Document Description for More Information – Addendum to the University of Utah – Veteran Only
• Letter of Recommendation 1
• Letter of Recommendation 2
• Letter of Recommendation 3
• List of References

University Human Resource Management
250 East 200 South, Suite 125 Salt Lake City, UT 84111
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By Email: [e-mail]