I.T. Data Scientist (Open Rank: Senior - Principal)
Description
University of Colorado Anschutz Medical Campus
Department: Ophthalmology
Job Title: I.T. Data Scientist (Open Rank: Senior - Principal)
Position #00844858 - Requisition # 38881
Job Summary:
Key Responsibilities:
Discuss with faculty and senior researchers to identify research questions, discuss results, analyze alternative routes to ensure progress
Conduct literature search prior to and throughout each research project to familiarize oneself with state of the art
Implement code to run experiments to explore the research questions, analyze results
Document work, including: documenting code, drafting manuscripts, prepare slideshow presentations for internal review and for conferences
Work Location:
Hybrid
Why Join Us:
Why work for the University?
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
Qualifications:
Minimum Qualifications:
Senior Professional
Bachelor's degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
2+ years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
Experience in coding using python as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
Principal Professional
Bachelor's degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
3+ years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
Experience in leading machine learning projects with a focus on Computer Vision or Natural Language Processing
Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
Experience in scientific writing as proven by a track record of scientific publications in journals or conferences
An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
Preferred Qualifications:
Senior Professional
Master's degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering, or physics.
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in working with real-world medical datasets (e.g., images, EHR records, genetic data)
Experience in using containerization software such as Docker, relational database and SQL, git (and github)
Principal Professional
Master's degree or PhD degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics
Proven track record of publications in medical informatics journals and conferences (medical imaging in Ophthalmology)
Experience in mentoring junior roles/students
Experience with the NIH grant @types and experience contributing to grant writing
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in working with real-world medical datasets (e.g., images, EHR records, genetic data)
Experience in using containerization software such as Docker, relational database and SQL, git (and github)
Knowledge, Skills and Abilities:
Knowledge of basic concept of Machine Learning, Computer Vision, and Natural Language Processing (through course work, academic projects, or work experience)
Ability to communicate effectively, both in writing and orally.
Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
Outstanding customer service skills.
How to Apply:
A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
Curriculum vitae / Resume
Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
Screening of Applications Begins:
Anticipated Pay Range:
Senior Professional: $86,952- $110,602
Principal Professional: $99,993- $127,192
Equal Employment Opportunity Statement:
ADA Statement:
Background Check Statement:
Vaccination Statement:
Job Category
Primary Location
Schedule
Posting Date
Unposting Date
To apply, visit https://cu.taleo.net/careersection/2/jobdetail.ftl?job=38881&lang=en (https://apptrkr.com/6896871)
Copyright 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/)
I.T. Data Scientist (Open Rank: Senior - Principal) - 38881 University Staff
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 focuses 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. This position will be working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology, radiology and pathology) and answer clinically impactful questions. The role will work with clinicians and end-users at the Division of Artificial Medical Intelligence within the Department of Ophthalmology of University of Colorado School of Medicine, to develop solutions to cutting-edge clinical questions. The candidate will also have the opportunity to pursue theoretical projects on novel datasets and collaborate with world-class clinicians at the University of Colorado and external collaborators. Data Scientists are expected to 'own' a project and make meaningful progress, leading to 2+ journal/conference publications per year.
this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.
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 standardsWe have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage (https://apptrkr.com/get_redirect.php?id=6896871&targetURL=https://advantage.cu.edu/) .
Applicants must meet minimum qualifications at the time of hire.
For full consideration, please submit the following document(s):Questions should be directed to: Giacomo Nebbia Giacomo.nebbia@cuaschutz.edu (https://apptrkr.com/get_redirect.php?id=6896871&targetURL=Giacomo.nebbia@cuaschutz.edu)
Immediately and continues until position is filled. For best consideration, apply by February 15, 2026.
The starting salary range (or hiring range) for this position has been established asThe 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 may be eligible for overtime compensation, depending on the level.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 (https://apptrkr.com/get_redirect.php?id=6896871&targetURL=http://www.cu.edu/node/153125)
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.
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@cuanschutz.edu (https://apptrkr.com/get_redirect.php?id=6896871&targetURL=hr.adacoordinator@cuanschutz.edu) .
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.
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (https://apptrkr.com/get\redirect.php?id=6896871&targetURL=https://www.cdc.gov/vaccines/schedules/downloads/adult/adult-combined-schedule.pdf) . 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 (https://apptrkr.com/get\redirect.php?id=6896871&targetURL=https://research.cuanschutz.edu/ehs/home/divisions/occupational-health/oh-enrollment) .Application Materials Required: Cover Letter, Resume/CV, List of References : Information Technology : Hybrid Department: U0001 -- Anschutz Med Campus or Denver - 20254 - SOM-OP GENERAL OPERATIONS : Full-time : Feb 2, 2026 : Ongoing Posting Contact Name: Giacomo Nebbia Posting Contact Email: Giacomo.nebbia@cuaschutz.edu (https://apptrkr.com/get_redirect.php?id=6896871&targetURL=Giacomo.nebbia@cuaschutz.edu) Position Number: 00844858jeid-d5b0cf52cc581a419067248ca237197c
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.
