Assistant Professor

Job Summary:

The Department of Ophthalmology at the University of Colorado School of Medicine is seeking applicants for a full-time tenure-track opening at the Assistant Professor level. The Candidate will be working as an AI / ML expert in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine. The position will provide expertise on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic medical records, genomic sequencing, and laboratory tests, to improve clinical decision-making. The position will also include leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation. The position will also entail publication of research findings in top venues within the field as well as submission of competitive grant applications to funding agencies such as the NEI, NSF, and NIBIB.

Key Responsibilities:

• Provide expertise in the applications of AL/ML approaches to analyze multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic medical records, genomic sequencing, and laboratory tests.
• Training and mentoring to postdoctoral fellows, graduate students, undergraduate students, and high school students, with special emphasis on mentorship of backgrounds underrepresented in medicine/research.
• Teaching basics of artificial intelligence, image processing, and algorithmic validation to clinical faculty/fellows/residents/medical students within the department.
• Leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation.
• Publishing of research findings in top venues within the field.
• Submitting of competitive grant applications to funding agencies such as the NEI, NSF, and NIBIB.

Work Location:

Hybrid - this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

Why Join Us:

The Department of Ophthalmology is housed in the Sue Anschutz-Rodgers Eye Center on the Anschutz Medical Campus. This state-of-the-art facility is one of the largest eye centers in the country and serves not only patients in the Rocky Mountain region but also patients all over the world.

The technological innovations conceived and developed by departmental faculty have changed the practice of eye care throughout the world. Our educational programs train the next generation of leaders in ophthalmology. Our specialists have developed national and international reputations for excellence in routine and complex ophthalmic care. We have invested heavily in tracking our clinical outcomes and we are proud that our clinicians perform at the highest levels in their respective fields.

The mission of the Department of Ophthalmology is to be a nationally recognized department of ophthalmology by providing exemplary patient care founded on educational leadership, innovative research, and high ethical standards.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 10/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

• Doctoral degree (PhD, MD/PhD, or equivalent) in Computer Science or related field such as Mathematics, Engineering or Physics.
• Completed at least 3 years of postdoctoral training working on AI/ML applications in biomedical imaging.
• Experience in programming
• Experience in machine learning and computer vision techniques, with emphasis on LLMs and generative AI.
• Experience in applying ML/CV techniques in ophthalmology, specifically LLMs and vision-language model
• Experience in Federated Learning
• Experience working on common ophthalmic diseases, such as age-related macular degeneration, glaucoma, diabetic retinopathy
• Experience in teaching and mentorship of junior data scientists, graduate students, undergraduate students, and high school students.
• Track record of publications in top-tier journals and conferences (such as Nature, CVPR, MICCAI)

Preferred Qualifications:

• Experience with grant writing as PI or co-PI (preferred) or contributor
• Proven successful submission of grants, preferably to NIH

Knowledge, Skills and Abilities:

• Knowledge and proficiency in Artificial Intelligence and its applications to medical imaging.

• Demonstrated interest in mentoring professional data scientists, graduate, undergraduate, and high school students.

• Demonstrated interest in teaching basic AI skillsets to clinical faculty/fellows/residents/medical students inside the department.

How to Apply:

For full consideration, please submit the following document(s):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2. Curriculum vitae / Resume

3. Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Ashley Woodhouse, ashley.woodhouse@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until September 27, 2025.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE:

Assistant Professor: $110,000 to $120,000

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.