University of Colorado Anschutz Medical Campus
Data Scientist (Open Rank: Intermediate - Principal)
University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States, 80012
University of Colorado Anschutz Medical Campus
Department: Ophthalmology
Job Title: Data Scientist (Open Rank: Intermediate - Principal)
Job Summary The Quantitative Translational Imaging in Medicine Lab, located within the Division of Artificial Medical Intelligence of the 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 work 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 the 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.
Key Responsibilities
Discuss with faculty and senior researchers to identify research questions, discuss results, and analyze alternative routes to ensure progress.
Conduct literature search prior to and throughout each research project to familiarize oneself with the state of the art.
Implement code to run experiments to explore the research questions and analyze results.
Document work, including: documenting code, drafting manuscripts, and preparing slideshow presentations for internal review and for conferences.
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, one of the largest eye centers in the country. 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.
We offer substantial benefits, including health, dental, vision, disability, life, and retirement plans, paid time off, vacation, sick days, and tuition assistance. Additional perks include civic and transportation benefits.
Qualifications (Minimum)
Intermediate Professional:
Bachelor's degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
1 year 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 scikit‑learn, opencv, PyTorch (or TensorFlow).
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 scikit‑learn, opencv, PyTorch (or TensorFlow).
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.
3‑5 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 scikit‑learn, opencv, PyTorch (or TensorFlow).
SUBSTITUTION: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year‑for‑year basis.
Applicants must meet minimum qualifications at the time of hire.
Preferred Qualifications
Intermediate Professional:
Master's degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics.
Experience in working in a research lab environment as an intern (specifically on ML/DL).
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in using containerization software such as Docker.
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 in a research lab environment as an intern (specifically on ML/DL).
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in using containerization software such as Docker.
Principal Professional:
Master's 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, preferred).
Knowledge, Skills and Abilities
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 For full consideration, please submit the following documents:
A letter of interest describing relevant job experience 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.
Questions should be directed to: Giacomo Nebbia (Giacomo.nebbia@cuanschutz.edu)
Screening of Applications Begins Screening begins on 10/27/2025.
Anticipated Pay Range
Principal Professional: $99,993 – $127,192
Senior Professional: $86,952 – $110,602
Intermediate Professional: $80,430 – $102,307
The above salary 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.
Equal Employment Opportunity Statement 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@cuanschutz.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.
#J-18808-Ljbffr
Job Title: Data Scientist (Open Rank: Intermediate - Principal)
Job Summary The Quantitative Translational Imaging in Medicine Lab, located within the Division of Artificial Medical Intelligence of the 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 work 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 the 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.
Key Responsibilities
Discuss with faculty and senior researchers to identify research questions, discuss results, and analyze alternative routes to ensure progress.
Conduct literature search prior to and throughout each research project to familiarize oneself with the state of the art.
Implement code to run experiments to explore the research questions and analyze results.
Document work, including: documenting code, drafting manuscripts, and preparing slideshow presentations for internal review and for conferences.
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, one of the largest eye centers in the country. 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.
We offer substantial benefits, including health, dental, vision, disability, life, and retirement plans, paid time off, vacation, sick days, and tuition assistance. Additional perks include civic and transportation benefits.
Qualifications (Minimum)
Intermediate Professional:
Bachelor's degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
1 year 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 scikit‑learn, opencv, PyTorch (or TensorFlow).
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 scikit‑learn, opencv, PyTorch (or TensorFlow).
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.
3‑5 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 scikit‑learn, opencv, PyTorch (or TensorFlow).
SUBSTITUTION: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year‑for‑year basis.
Applicants must meet minimum qualifications at the time of hire.
Preferred Qualifications
Intermediate Professional:
Master's degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics.
Experience in working in a research lab environment as an intern (specifically on ML/DL).
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in using containerization software such as Docker.
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 in a research lab environment as an intern (specifically on ML/DL).
Experience in working with medical images such as fundoscopy images, OCT's, MRI's, digital histopathology are desired.
Experience in using containerization software such as Docker.
Principal Professional:
Master's 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, preferred).
Knowledge, Skills and Abilities
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 For full consideration, please submit the following documents:
A letter of interest describing relevant job experience 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.
Questions should be directed to: Giacomo Nebbia (Giacomo.nebbia@cuanschutz.edu)
Screening of Applications Begins Screening begins on 10/27/2025.
Anticipated Pay Range
Principal Professional: $99,993 – $127,192
Senior Professional: $86,952 – $110,602
Intermediate Professional: $80,430 – $102,307
The above salary 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.
Equal Employment Opportunity Statement 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@cuanschutz.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.
#J-18808-Ljbffr