"I.T. Data Scientist (Open Rank: Senior - Principal)"

I.T. Data Scientist (Open Rank: Senior - Principal)

University of Colorado Anschutz Medical Campus

Department: Ophthalmology

Job Title: I.T. Data Scientist (Open Rank: Senior - Principal)

Position #00844858 - Requisition #38881

Job Summary:

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.

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 - 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. 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

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.

Applicants must meet minimum qualifications at the time of hire.

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.

Anticipated Pay Range:

• Senior Professional: $86,952- $110,602
• Principal Professional: $99,993- $127,192