University of Colorado · 1 day ago
I.T. Data Scientist (Open Rank: Senior - Principal)
The University of Colorado Anschutz Medical Campus is focused on innovative research in medical imaging and artificial intelligence. The I.T. Data Scientist will develop deep learning algorithms for analyzing medical imaging data, collaborating with clinicians to address clinical questions and contribute to impactful research publications.
EducationHigher EducationUniversities
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
Qualification
Required
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
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
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
Preferred
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)
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)
Benefits
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
Company
University of Colorado
University of Colorado offers higher education and serving as the catalysts in business, arts, health, and community growth.
H1B Sponsorship
University of Colorado has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (184)
2024 (124)
2023 (163)
2022 (115)
2021 (86)
2020 (95)
Funding
Current Stage
Late StageTotal Funding
$0.5MKey Investors
US Department of EnergyUS Department of Commerce, Economic Development Administation
2023-07-27Grant
2023-01-26Grant
2021-04-06Grant· $0.5M
Recent News
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-23
Sports Business Journal
2025-12-28
Company data provided by crunchbase