Information Science Professional (Open Rank)

Job Summary:

The Information Science Professional will contribute to computational biology research in the newly established lab of Dr. Kristy Carpenter in the Department of Biomedical Informatics. Responsibilities include designing and conducting research studies, performing literature reviews, data analysis, interpretation of results, analytical workflows, and reproducible research pipelines to address complex biomedical research questions. The position will focus on the development of biomolecular machine learning models applied to accelerating drug development. The individual will have the opportunity to disseminate research findings through abstracts, oral and poster presentations, and scientific manuscripts.

Key Responsibilities:

• Design, implement, tune, and evaluate machine learning models

• Develop scripts to wrangle complex biomedical data (e.g., molecular structure, clinical text, multi-omics)

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

• Assist with the design and development of machine learning projects

• Present research-in-progress at lab meetings, project meetings, and 1-on-1 meetings

Work Location:

Hybrid - this role is eligible for a hybrid schedule of three (3) days per week on campus and as needed for in-person meetings.

Why Join Us:

This position brings the unique opportunity to be one of the first members of the Carpenter Lab research team. The individual will work directly with Dr. Carpenter on a cutting-edge research project, with the goal of publication in a scientific journal. The Carpenter Lab will be a multidisciplinary team, with the expectation that those with a stronger computational background can assist those with a stronger biology domain background, and vice versa.

The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for trainees to thrive and pursue their career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills.

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.

Qualifications:

Minimum Qualifications:

Entry Level:

• Bachelor's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field

  • Substitution: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year-for-year basis

Intermediate Level:

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

  • Substitution: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year-for-year basis

• One (1) year of experience developing machine learning models and/or analyzing data using high-performance computing

  • Substitution: An advanced degree (Masters or PhD) may be substituted for experience on a year-for-year basis if the degree is in a field of study directly related to the work assignment

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

Entry Level:

• Master's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field

• One (1) year of experience developing machine learning models and/or analyzing data using high-performance computing

Intermediate Level:

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

• Two (2) years of experience developing machine learning models and/or analyzing data using high-performance computing

Condition(s) of Employment (All Levels):

• Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization for this position now or in the future.

Knowledge, Skills, and Abilities (All Levels):

• Basic knowledge of statistical principles relevant to medical research

• Ability to analyze and solve complex problems and apply quantitative analytical approaches

• Familiarity with statistical analytical concepts and methods

• 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

• Ability to interpret and master complex research protocol information

• Demonstrated fluency in Python or R and willingness to learn new programming languages as necessary

• Strong knowledge of applied machine learning

• Basic knowledge of chemistry, molecular biology, and medicine, and enthusiasm to advance one's understanding of the biomedical domain

• Familiarity with high-performance computing

• Ability to clearly document code

• Ability to interact effectively and respectfully in a team with complementary competencies

• Ability to manage projects independently

How to Apply:

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

1. Curriculum vitae / Resume

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

Questions should be directed to: DBMI HR, dbmi.hr@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until December 1, 2026.

Anticipated Pay Range:

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

• Entry Level: $53,631 to $68,219

• Intermediate Level: $58,363 to $74,238

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 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

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.