Assistant Research Professor

Job Summary:

The Department of Radiology at University of Colorado Anschutz Medical Campus is seeking applicants for a full-time Assistant Research Professor. The candidate will report directly to the Vice Chair of Clinical Research, Harrison Bai, MD, and will be expected to participate in a wide range of research projects.

List of duties to perform:

• Model Development: Design and refine vision-language models (VLMs) and diffusion-based generative frameworks tailored for medical imaging and report synthesis.
• Medical Image Analysis: Lead projects in extracting, interpreting, and modeling clinical imaging data across modalities (e.g., CT, MRI, PET).
• Multimodal Integration: Combine image data with corresponding radiology text reports using advanced natural language understanding techniques to build end-to-end diagnostic pipelines.
• Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series.
• Computational Infrastructure: Deploy and maintain high-performance computing environments (GPU clusters, cloud services) for large-scale image-text experimentation.
• Data Engineering: Establish workflows for automated data curation, including image de-identification, report parsing, and metadata normalization.
• Software Engineering: Write modular, scalable code in modern deep learning frameworks (e.g., PyTorch, TensorFlow) with an emphasis on reproducibility and performance.
• Scholarly Output: Produce high-quality research suitable for publication in top-tier conferences (e.g., MICCAI, NeurIPS) and peer-reviewed journals.
• Grant Development: Assist in the preparation of independent and collaborative research proposals aimed at securing extramural funding.
• Collaborative Research: Work closely with radiologists, computational scientists, and biomedical engineers on translational imaging projects.
• Mentorship: Guide junior team members in research methods, coding practices, and scientific communication.
• Project Oversight: Coordinate multiple research initiatives simultaneously, tracking milestones and deliverables.
• Validation and Benchmarking: Implement rigorous evaluation protocols to ensure model fidelity, clinical relevance, and reproducibility.
• Communication: Effectively communicate technical results and research progress to collaborators, sponsors, and broader scientific audience

This role demands a combination of technical expertise, research innovation, and leadership skills to drive impactful projects in medical imaging analysis, diffusion model, large-language model and vision-language model development.

Work Location:

Onsite - this role is predominantly onsite in Aurora, CO.

Why Join Us:

This is a terrific opportunity to join a highly progressive department and an institution at University of Colorado Hospital and/or Children's Hospital Colorado. Both of these institutions are consistently ranked #1 in Colorado and top 20 in the nation.

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 .

Equal 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, including protected veterans and individuals with disabilities.

Qualifications:

Minimum Qualifications:
Applicants must meet minimum qualifications at the time of hire.

• Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.

Preferred Qualifications:

• Research Accomplishments:
  
  
  
  • A strong track record of high-impact publications in medical imaging, computer vision, or related areas.
  
  
  
  
• Independent Work:
  
  
  
  • Ability to work autonomously, take initiative, and deliver results without extensive supervision.
  
  
  
  
• Multitasking:
  
  
  
  • Proven ability to manage and contribute to multiple projects simultaneously while meeting deadlines.
  
  
  
  
• Collaboration and Mentorship:
  
  
  
  • Strong interpersonal skills to work effectively in a team setting and mentor junior team members.
  
  
  
  
• Organizational Skills:
  
  
  
  • Excellent project management and organizational abilities to handle diverse tasks and priorities.
  
  
  
  
• Critical Thinking and Innovation:
  
  
  
  • Strong problem-solving skills and creativity to design novel AI solutions for medical imaging.
  
  
  
  

Knowledge, Skills and Abilities:

• Technical Expertise:
  
  
  
  • Demonstrated expertise in:
    
    
    
    • Medical image processing and computer vision.
    • Natural Language Processing (NLP) and video analysis.
    • Building and optimizing VLMs and LLMs.
    
    
    
    
  
  
  
  

Proven experience with high-performance computing, including GPU server setup and maintenance

• Programming Skills:
  
  
  
  • Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras.
  • Familiarity with data handling tools and libraries (e.g., NumPy, pandas, DICOM libraries).
  
  
  
  

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 professional references including name, address, phone number (mobile number if appropriate), and email address.

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

Questions should be directed to: Victoria Bress, email: Victoria.bress@cuanschutz.edu

Screening of Applications Begins:

Applications will be accepted until finalists are identified, but preference will be given to complete applications received by 6/10/2025. 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 HIRING RANGE:

$70,000 - $90,000

The salary of the finalist 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. This position is not eligible for overtime compensation unless it is non-exempt.

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:

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.