Junior Data Scientist (Entry IT Professional)

Job Summary:

The Department of Ophthalmology has an opening for a 1.0 FTE entry-level IT professional. The Junior Data Scientist 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.

Key Responsibilities:

• The Junior Data Scientist works with department leadership and clinicians to develop and deploy machine learning algorithms and data analytics to improve patient care and efficiencies.
• Building machine learning models to analyze medical images.
• Maintain project code in Github.
• Work with clinicians to understand clinical workflows and algorithm requirements.
• Collaborate with and support Principal Investigators (PI) and members of the research group in the area of machine learning, computer vision and natural language processing.
• Use frameworks such as PyTorch or TensorFlow to develop state of the art machine learning pipelines.
• Perform statistical analysis in languages including R and Python

Work Location:

Hybrid - This role is eligible for a hybrid schedule of 2 days per week on campus and as needed for in-person meetings in Aurora, CO.

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:

• A bachelor's degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics., or a directly related field from an accredited institution.
  
  
  
  • A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis.
  
  
  
  

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• 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.

Competencies, Knowledge, Skills, Abilities:

• Understand of deep learning packages such as PyTorch & TensorFlow.
• 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 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. Three to five(3-5) professional references, including name, address, phone number (mobile number if appropriate), and email address

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

Screening of Applications Begins:

Immediately and continues until the position is filled. For best consideration, apply by June 15, 2025.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as $73,909 - $94,012.

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 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: 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 non-discrimination 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.

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.