Postdoctoral Fellow
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Before you apply
Salary$63k – $77k
LocationHybrid – this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.
Work modehybrid
Typefull-time
SeniorityEntry
DepartmentOphthalmology
Company size10,000+ people
First seenNov 3, 2026 · 10h ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
PhD in computer science, data science, or related discipline
Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing
Proficiency in python and deep learning libraries (pytorch)
Proficiency in git, Docker, python, and SQL
Experience in Medical Computer Vision
Experience with Large Language Models and Generative AI
Experience working with real-world EHR and imaging data
Experience working with PACS and the DICOM standard
Experience in medical imaging for ophthalmology
Track record of publications in Medical Imaging in top tier conferences (e.g., MICCAI) and journals (e.g., Nature, Medical Image Analysis, Transactions of Medical Imaging)
Skills
python
pytorch
git
Docker
SQL
Deep Learning
Computer Vision
Natural Language Processing
Large Language Models
Generative AI
PACS
DICOM
Benefits
Health insurance
Retirement contributions
University of Colorado Anschutz
Department: Ophthalmology
Job Title: Postdoctoral Fellow
Position #00853251 – Requisition #41186
Job Summary:
The Department of Ophthalmology at the University of Colorado, Anschutz Medical Campus, seeks a full-time (1.0 FTE) Postdoctoral Fellow to work in the Quantitative Translational Imaging in Medicine Lab, located within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge the gap between machine learning research and clinical practice through fruitful connections with our clinical collaborators. Our research has potential to revolutionize treatment paradigms and transform the care of patients. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. We are seeking a motivated, proactive person who will be able to own their projects from their conceptualization to its completion, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities: * Perform independent research: own a research project from conceptualization to publication * Assist with grant writing and ideation * Supervise PhD students, data scientists, and interns
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? The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit: * [Payroll & Benefits Orientation for Post-Doctoral Fellows
Qualifications:
Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. * PhD in computer science, data science, or related discipline * Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing * Proficiency in python and deep learning libraries (pytorch) * Proficiency in git, Docker, python, and SQL * Experience in Medical Computer Vision * Experience with Large Language Models and Generative AI * Experience working with real-world EHR and imaging data * Experience working with PACS and the DICOM standard Preferred Qualifications: * Experience in medical imaging for ophthalmology * Track record of publications in Medical Imaging in top tier conferences (e.g., MICCAI) and journals (e.g., Nature, Medical Image Analysis, Transactions of Medical Imaging) Knowledge, Skills and Abilities: * Strong team player with excellent customer service and interpersonal skills and has the ability to work with a diverse group and competing interests. * Strong verbal and written communication skills with the ability to effectively explain processes and procedures. * Excellent time management and organizational skills with the ability to work independently, prioritize tasks, work under tight deadlines. * Flexibility and the ability to adapt to various situations. * Ability to take direction and use independent judgment to complete assigned tasks. * Excellent attention to detail. * Analytical and reasoning ability. * Ability to represent the department and University in a professional manner with tact and diplomacy.
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, [email protected]
Screening of Applications Begins:
Applications will be accepted until finalists are identified, but preference will be given to complete applications received by November 15, 2026. Those who do not apply by this date may or may not be considered.
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as HIRING RANGE:
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 [email protected].
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.