University of Colorado Anschutz Medical Campus is hiring: Information Sciences P

Overview

University Staff – University of Colorado Anschutz Medical Campus

Department: Radiology

Job Title: Information Sciences Professional (Intermediate, Senior, Principal -- Open Rank), part-time (0.2 FTE; qualification dependent)

Position #: 00846872 | Requisition #: 39640

Work Location: Remote (this role is eligible to work remotely; employee must be in the United States)

Schedule: Part-time

Job Summary

Information Science Professionals utilize applied or computational mathematical analyses for a wide array of applications and to solve complex problems. Responsibilities include data interpretation, coding, methodology development, and interactions with labs using electronic equipment. This role operates as a Machine Learning Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Under the supervision of the Principal Investigator (PI), Dr. Bennett Chin, the ML Engineer will assist with creating ML models and retraining systems using radiology data. The position requires strong mathematics and programming skills; knowledge of data science and experience with software engineering are desired. The goal is to shape and build efficient deep learning applications.

This is a part-time, 0.2 FTE position with remote work option.

Examples of Duties Performed

Intermediate Level:

• Collaborate with and support Principal Investigators (PI) and other stakeholders in bioinformatics and data analysis.


• Perform scientifically rigorous data management and bioinformatic analyses.


• Run machine learning tests and experiments.


• Computer system software maintenance and security.


• Assist with selection of appropriate datasets and data representation methods.


• Perform evaluation and analysis of test results.


• Train and retrain systems when necessary.


• Develop and disseminate tools designed to access relevant clinical and sample data.


• Develop ML applications according to requirements.


• Research and implement ML algorithms and tools.


• Develop and implement complex analysis pipelines, programming, and data visualization techniques.


• Extend existing ML libraries and frameworks.


• Integrate data creatively from multiple sources to accelerate discoveries.


• Study and transform data science prototypes.


• Assist with design and development of major bioinformatics-related programming projects.


• Write custom scripts to access databases and analyze data.


• Keep abreast of developments in the field.


• Independently and creatively identify bioinformatic and data management solutions.


• Assist team leads, supervisors and/or management with creation and implementation of processes and procedures and quality improvement initiatives.


• Assist and train junior team members.

Senior Level:

• All Intermediate duties, plus:


• Assist with developing protocol-specific systems and documents including process flows and SOPs.


• Maintain subject-level documentation and prepare related equipment or supplies.


• Identify issues related to operational efficiency and share results with leadership.


• Provide biostatistical/data science expertise and leadership in study design, data management, data analysis, and manuscript preparation to assist biomedical investigators and clinicians.


• Serve as a resource to PIs and other stakeholders.

Principal Level:

• All Senior duties, plus:


• Act as a Subject Matter Expert and authority in the area of machine learning.

Note: This description is a summary and may change based on business needs. The University reserves the right to add or delete duties at the discretion of the supervisor and/or hiring authority.

Qualifications

Minimum Qualifications

Intermediate Level:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field (or a combination of education and related experience substituted on a year-for-year basis).


• One (1) year of professional data management and bioinformatic analyses experience.

Senior Level:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field (or equivalent).


• Two (2) years of professional data management and bioinformatic analyses experience.

Principal Level:

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field (or equivalent).


• Minimum three (3) years of professional data management and bioinformatic analyses experience.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field.


• One (1) to four (4) years of experience analyzing data using high-performance computing.

Knowledge, Skills, and Abilities:

• Strong to expert ability to analyze and solve complex problems and apply quantitative analytical approaches.


• Proficiency in programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new languages as needed.


• Understanding of data structures, data modeling, and software architecture.


• Deep knowledge of math, probability, statistics, and algorithms.


• Familiarity with ML frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn).


• Effective written and verbal communication; ability to establish and maintain relationships across the institution.

How to Apply

1. Letter of interest describing relevant job experiences and qualifications.


2. Curriculum Vitae / Resume.


3. Three to five professional references with contact information.

Questions should be directed to Victoria Bress at Victoria.bress@cuanschutz.edu.

Screening / Important Dates

Applications will be accepted until finalists are identified; preference will be given to complete applications received by 04/21/26. Those who do not apply by this date may still be considered.

Compensation

Anticipated Pay Range:

• Intermediate Professional – $28.06 to $37.60 per hour (roughly $11,672.60 to $15,641.40 annually)


• Senior Professional – $30.33 to $40.65 per hour (roughly $12,619.20 to $16,909.60 annually)


• Principal Professional – $34.88 to $46.75 per hour (roughly $14,512.00 to $19,446.00 annually)

The above range represents the University’s good faith estimate of possible compensation at the time of posting. This position is eligible for overtime. Total compensation includes leave, health plans, retirement contributions, and other benefits.

Equal Employment Opportunity / ADA / Background

Equal Employment Opportunity Statement: CU is an Equal Opportunity Employer and complies with all applicable laws. We encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement: The University will provide reasonable accommodations to applicants with disabilities during the employment application process. To request an accommodation, contact the HR ADA Coordinator at HR.ADACoordinator@cuanschutz.edu.

Background Check: The University conducts background investigations for all prospective employees.

Vaccination: CU Anschutz strongly encourages vaccination against COVID-19 and other vaccine-preventable diseases. If you work in healthcare facilities or with affiliated partners, you may be required to comply with vaccination policies. Some roles may require enrollment in an occupational health surveillance program.

Application Materials Required

Cover Letter, Resume/CV, List of References

Posting Details

Posting Date: Apr 16, 2026

Unposting Date: Ongoing

Posting Contact: Victoria Bress — Victoria.bress@cuanschutz.edu

Position Number: 00846872