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

Job Summary:

Nature of Work

Information Science Professionals utilize applied or computational mathematical analyses for a wide array of different applications and to solve complex problems. Experiments may include text interpretation, coding, ground theory methodology for the analysis of certain data, and quantum state analyses. Information Science Professionals may also perform duties in labs that use primarily electronic equipment.

This Information Science Professional will be operating as a Machine Learning (ML) Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Working under the Principal Investigator (PI), Dr. Bennett Chin. The ML Engineer will be assisting with the creation of machine learning models and retraining systems using radiology data. To do this job successfully, the candidate will need exceptional skills in mathematics and programming; knowledge of data science and experience with software engineering is desired. The ultimate goal of this position will be to shape and build efficient deep learning applications.

This is a part-time, 0.2 FTE, position with an option to work remotely.

Examples of Duties Performed

Intermediate Level:

• Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of  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 a variety of tools designed to access relevant clinical and sample data

• Develop machine learning applications according to requirements.

• Research and implement appropriate ML algorithms and tools.

• Develop and implement complex analyses pipelines, programming, and data visualization techniques

• Extend existing ML libraries and frameworks.

• Creatively and effectively integrate data from multiple sources to accelerate discoveries

• Study and transform data science prototypes.

• Assist with the 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 of the above and:

• Assist with developing or develop protocol-specific systems and documents including process flows, training manuals,

• and Standard Operating Procedures (SOPs). Maintains subject level documentation and prepares documents, equipment

• and/or supplies.

• Assist with identifying issues related to operational efficiency and shares results with leadership.

• Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management,

• data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research

• activities across a wide range of disciplines.

• Serve as a resource to PIs and other stakeholders.

Principal Level, all of the above and:

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

   

This description is a summary only and describes the general level of work being performed, it is not intended to be all inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority.

Work Location:

Remote – this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us:

The University of Colorado Anschutz Medical Campus is a public education, clinical and research facility serving 4,500 students, and a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges, and receives over $500 million in research awards each year. We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award-winning faculty, renowned researchers and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care.

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%25 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: 15/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.

Qualifications:

Minimum Qualifications

Intermediate Level:

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

• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis.

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

Senior Level:

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.

• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis.

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

Principal Level:

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.

• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis.

• Minimum three (3) years 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, depending

• on level.

• Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn

• new programming languages as necessary.

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

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

• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

• 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

How to Apply:

For full consideration, please submit the following document(s):

1.  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: 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 04/21/26. 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 part-time (0.2 FTE) position has been established at:

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

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

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

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 eligible for overtime compensation.

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

Equal Employment Opportunity Statement:

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination 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.

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@cuanschutz.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.