Job Summary:

Job Summary

The Department of Ophthalmology at the University of Colorado School of Medicine is seeking applicants for full-time (1.0 FTE) faculty positions to work as research instructor-research assistant professor (open rank).

Posting Description

The Candidate will be working as an AI / clinical expert in our growing Division of Artificial Medical Intelligence in Ophthalmology at The University of Colorado (CU) School of Medicine. The position will provide ML/clinical 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 entail publication of research findings in top venues within the field as well as 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. Other responsibilities include ensuring research project deliverables are completed in a timely manner, supervising students and interns as well as helping out with management of regulatory activities associated with research studies, IRB submissions and renewals and assembling grant applications. 

Supervision Received

The position will report directly to Jayashree Kalpathy-Cramer, PhD, department of ophthalmology.

Supervision Exercised

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

Professional Field

Medical Artificial Intelligence and Machine Learning 

Examples of Work Performed

Instructor

• Provide AI / clinical expertise in the applications of 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.
• Teaching basics of clinical ophthalmology, artificial intelligence, image processing, and algorithmic validation to AI faculty/clinical faculty/fellows/residents/medical students within the department.
• Participating in 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.
• Supporting publications of research findings in top venues within the field.
• Monitor project progress on github, including testing its reproducibility + maintain documentation of project datasets and codebase and check if they are compliant with best data organization practices outlined by the team.
• May assist in the role of scrum master, onboarding new employees as well as in organizing lab meetings, outdoor activities and scheduling interviews/meetings of faculty.

Assistant Professor

• 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.
• 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.
• Leading in 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.
• Leading publications of research findings in top venues within the field.
• Develop outlines for project goals, participate in project development/planning including including project budget development processes,  as well as manage and coordinate project deliverables from conception through completion.

Additional Duties & Responsibilities :

• Attends meetings and scientific conferences, as needed. Maintains communication platforms including newsletters, emails, and lab websites/social media.
• Assists with data collection, data analysis, and reporting of preliminary findings, as needed.
• Assists with preparation of grant applications and manuscripts, including data analyses, literature searches, drafting of text, confirming affiliations and linking of funding to accepted manuscripts.
• Assists with Material Transfer Agreements, Data Use Agreements and Research Collaboration agreements.

Why Join Us:

Use your college/unit or department as a selling point. Think about the “what’s in it for me” candidate viewpoint. You do not need to include everything, just the most appealing parts of working for your college/unit or department. Keep this section short and concise for effectiveness - in general, try to limit it to 1-2 paragraphs. 

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, and holidays and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness .

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:

Applicants must meet minimum qualifications at the time of hire.

Instructor:

Qualified candidates must have a master’s degree or its equivalent. 

• Master’s or Doctoral degree (PhD, MD/PhD, or equivalent) in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field such as Mathematics, Engineering or Physics. 
• Research Instructor must hold an OD, PhD, or Masters followed by at least 2 years data management, project management and bioinformatic analyses experience.
• Special Skills: Either clinical ophthalmology expertise or programming expertise (with extensive experience in machine learning and computer vision techniques) is required.

Assistant Professor

• Master’s or Doctoral degree (PhD, MD/PhD, or equivalent) in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field such as Mathematics, Engineering or Physics. 
• Research Assistant Professor must hold a PhD + at least 2 years of postdoctoral training working on AI/ML applications in biomedical imaging.
• Special Skills: Either clinical ophthalmology expertise or programming expertise (with extensive experience in machine learning and computer vision techniques) is required. 

Preferred Qualifications:

Previous work experience in an academic or hospital-based healthcare environment is preferred.

Instructor

• Expertise, interest or training in working data sciences for opthalmology
• Strong publication record within ophthalmology, medical imaging, and/or computer science venues is preferred
• Experience in teaching and mentorship of graduate students, undergraduate students, and high school students is desired

Assistant Professor

• Expertise, interest or training in working data sciences for opthalmology
• Strong publication record within ophthalmology, medical imaging, and/or computer science venues is preferred
• Experience in teaching and mentorship of graduate students, undergraduate students, and high school students is desired

Required Competencies/Knowledge, Skills, and Abilities

• Knowledge and proficiency in medical and perioperative management of ophthalmic disease.
• Knowledge and proficiency in Clinical Ophthalmology Or Artificial Intelligence and its applications to medical imaging.
• Demonstrated interest in mentoring.
• Demonstrated interest in teaching basic clinical ophthalmology or AI skillsets to AI faculty/ clinical faculty/fellows/residents/medical students inside the department.

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

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

Screening of Applications Begins:

Immediately and continues until position is filled.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as

Instructor $90,000-98,000

Assistant Professor $98,000-120,000

The above 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

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@ucdenver.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:

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

Unit-Specific Exemptions:

·         Anschutz Campus – Accommodations may be granted for medical or religious reasons.

The University of Colorado 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.