Job Summary:

The Department of Ophthalmology has an Open Rank Data Scientist (Entry – Principal) position available. The Data Scientist will support the machine learning team in Ophthalmology. This individual will act as a resource for this team and the department to help develop and deploy machine learning algorithms and data analytics to improve patient care

Key Responsibilities:

• Work 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.
• Publish research in top AI and Ophthalmology venues (JAMA Ophthalmology, Nature, NeurIPS, MICCAI, etc.).
• Contribute to academic writing for grant applications where necessary.
• Independently drive projects to completion.
• Provide data science expertise and leadership in study design, study oversight, data management, data analysis, and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines.
• Serve as a resource to PIs and other stakeholders.
• Lead and mentor a small team of junior staff on projects to ensure highest quality and on-time deliverables.
• Provide leadership and mentoring to high school, undergraduate, and graduate interns on current trends in artificial intelligence and machine learning in medical imaging.

Work Location:

Hybrid – This role is eligible for a hybrid schedule of 1-2 days per week on campus (Aurora, CO) 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.

The University of Colorado offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, tuition benefits, ECO pass, paid time off – vacation, sick, holidays and more. To see what benefits are available, please visit:

Diversity and Equity:

The University of Colorado Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty, and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities, persons within the LGBTQ community and all veterans. The University of Colorado is committed to diversity and equality in education and employment.

Qualifications:

Minimum Qualifications:

Entry Level:

• A bachelor’s degree in computer science, data science, machine learning, or a related field.
  • Substitution: A combination of education and related technical/professional experience may be substituted for the bachelor’s degree on a year-for-year basis.

Intermediate Level:

• A bachelor’s degree in computer science, data science, machine learning, or a related field.
  • Substitution: A combination of education and related technical/professional experience may be substituted for the bachelor’s degree on a year-for-year basis.
• One (1) year of experience in machine learning applied to computer vision and medical image analysis.

Senior Level:

• A bachelor’s degree in computer science, data science, machine learning or a related field.
  • Substitution: A combination of education and related technical/professional experience may be substituted for the bachelor’s degree on a year-for-year basis.
• Two (2) years of experience in machine learning applied to computer vision and medical image analysis.

Principal Level:

• A bachelor’s degree in computer science, data science or a related field.
  • Substitution: A combination of education and related technical/professional experience may be substituted for the bachelor’s degree on a year-for-year basis.
• Three (3) years of experience in machine learning applied to computer vision and medical image analysis.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Master’s degree or higher in Computer Science or a related field.
• Experience with multimodal approaches for image and text alignment, specifically for object detection in images.
• Experience working with medical imaging data such as fundus photographs, OCTs, computed tomography (CT) or magnetic resonance imaging.
• Track record of publishing research in top AI-related venues (NeurIPS, ICML, ICLR, AAAI, CVPR, MICCAI, etc.).
• Experience in programming with Pytorch or Tensorflow.
• Extensive experience with technologies such as Bash, Linux, Git, SQL, and Docker.

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.
• Demonstrated commitment and leadership ability to advance diversity and inclusion.
• Excellent programming skills.
• Ability to work in multidisciplinary teams (e.g. clinicians, software engineers, data scientists) to develop real-world medical AI applications.

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 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:

Applications will be accepted until finalists are identified, but preference will be given to complete applications received by May 1st, 2024. 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:

• Entry Level: $71,756 - $91,274

• Intermediate Level: $78,087 - $99,327

• Senior Level: $84,419 - $107,381

• Principal Level:$97,081 - $123,487

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:

ADA Statement:

The University will provide reasonable accommodation 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.