Description
University of Colorado | CU Anschutz Medical Campus

School of Medicine/Department Ophthalmology

Assistant Professor

Position #00795858 – Requisition #25568

 

* Applications are accepted electronically ONLY at www.cu.edu/cu-careers

The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date.  Information regarding this requirement, and exemptions can be found at:

Anschutz: https://www.ucdenver.edu/docs/librariesprovider284/default-document-library/3000-general-admission/3012---covid-19-vaccination-requirement-and-compliance.pdf?sfvrsn=4e9df3ba_2

Denver: https://www.ucdenver.edu/coronavirus

Exemptions vary by campus location/department.

Campus/Unit-Specific Exemptions:

Anschutz Campus – Exemptions are allowed for medical or religious reasons.Denver Campus - Exemptions are allowed for medical, religious, or personal reasons.Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.

The University of Colorado Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.

The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and patient care. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals - UCHealth University of Colorado Hospital and Children's Hospital Colorado - that treat more than two million adult and pediatric patients each year. Innovative, interconnected and highly collaborative, the University of Colorado Anschutz Medical Campus delivers life-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $650 million in research grants. For more information, visit www.cuanschutz.edu.

Nature of Work

The Department of Ophthalmology at the University of Colorado School of Medicine is seeking applicants for a full-time tenure-track opening at the Assistant Professor level. The Candidate will be working as an AI / ML expert in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine. The position will provide expertise on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic medical records, genomic sequencing, and laboratory tests, to improve clinical decision-making. The position will also include leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation. The position will also entail publication of research findings in top venues within the field as well as submission of competitive grant applications to funding agencies such as the NEI, NSF, and NIBIB.

Professional Field

Medical Artificial Intelligence and Machine Learning

Examples of Work Performed

The duties and responsibilities of the position include, but are not limited to:

• Provide expertise in the applications of AL/ML approaches to analyze multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic medical records, genomic sequencing, and laboratory tests.
• Training and mentoring to postdoctoral fellows, graduate students, undergraduate students, and high school students, with special emphasis on mentorship of backgrounds underrepresented in medicine/research.
• Teaching basics of artificial intelligence, image processing, and algorithmic validation to clinical faculty/fellows/residents/medical students within the department.
• Leading inter-disciplinary teams (including clinical ophthalmology, computer/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation.
• Publishing of research findings in top venues within the field.
• Submitting of competitive grant applications to funding agencies such as the NEI, NSF, and NIBIB.

 

Supervision Received

The Assistant Professor reports directly to the Chief of Division of Artificial Medical Intelligence  Dr. Jayashree Kalpathy-Cramer [

Supervision Exercised

The  Assistant Professor  will supervise as well as provide training and mentoring to postdoctoral fellows, graduate students, undergraduate students, and high school students.

Salary and Benefits:

The salary range (or hiring range) has been established at $75,000-$110,000

The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

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.

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.

 Benefits: https://www.cu.edu/employee-services/benefits

Total Compensation Calculator: http://www.cu.edu/node/153125

Diversity and Equity:

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@ucdenver.edu.

The University of Colorado Denver | 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.

The University of Colorado Denver | 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.

 

Qualifications
Minimum Qualifications  

Applicants must meet minimum qualifications at the time of hire.

• Doctoral degree (PhD, MD/PhD, or equivalent) in Computer Science or related field such as Mathematics, Engineering or Physics.
• Completed at least 2 years of postdoctoral training working on AI/ML applications in biomedical imaging.
• Experience in programming
• Experience in machine learning and computer vision techniques is required.
• Experience in teaching and mentorship of graduate students, undergraduate students, and high school students is desired.

Preferred Qualifications

Expertise, interest or training in working with fundus photography or optical coherence tomography is preferred.Interest/experience in Glaucoma, Age-Related Macular Degeneration (AMD), Retinopathy of Prematurity (ROP) is desirable.Strong publication record within ophthalmology, medical imaging, and/or computer science venues.

Knowledge, Skills, and Abilities

To be successful in this position, candidates will need the following:

Knowledge and proficiency in Artificial Intelligence and its applications to medical imaging.Demonstrated interest in mentoring graduate, undergraduate, and high school students.Demonstrated interest in teaching basic AI skillsets to clinical faculty/fellows/residents/medical students inside the department.

Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: Apr 12, 2022
Unposting Date: Ongoing