University of Colorado

Research Scientist

University of Colorado$90K — $100K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD, DrPH, or equivalent in Epidemiology, Public Health, Biostatistics, Health Services Research, or related fields
  • Expertise in epidemiologic methods and quantitative analysis
  • Research experience in substance use, homelessness, infectious diseases, and health inequities
  • Proficient with statistical software like R, SAS, Stata, or Python
  • Evidence of scholarly productivity with publications and presentations

Responsibilities

  • Conduct advanced epidemiologic and quantitative analyses on large datasets
  • Develop mathematical and simulation models for infectious diseases and substance use
  • Assist in creating grant proposals, reports, and presentations
  • Support study design, data interpretation, and sharing findings
  • Evaluate research focused on health inequities and vulnerable populations
  • Collaborate on projects with clinical and community partners
  • Engage in academic initiatives within public health and medicine departments

Benefits

  • Flexible hybrid work environment
  • Opportunities for mentorship and career development
  • Support for grant writing and manuscript development
  • Engagement in interdisciplinary research collaborations
  • Access to a robust portfolio of federally funded research projects
Full Job Description
Department: Department of Medicine - Division of Infectious Diseases

Working Title: Research Scientist



Job Summary:

The Department of Medicine, Division of Infectious Diseases at the University of Colorado Anschutz Medical Campus is seeking a full-time Instructor to join the Barocas Laboratory. This position is designed for an early-career investigator with advanced quantitative and epidemiologic training who is interested in conducting innovative population health research focused on substance use, homelessness, infectious diseases, and health inequities.

The Instructor will work closely with Dr. Joshua Barocas and interdisciplinary collaborators across clinical medicine, public health, epidemiology, biostatistics, implementation science, and community-engaged research. The successful candidate will contribute to a robust portfolio of federally funded and foundation-supported research focused on syndemic interactions among substance use disorders, housing instability, HIV, hepatitis C, bacterial and fungal infections, overdose, and structural determinants of health.

This position will primarily focus on advanced epidemiologic analyses, mathematical and decision-analytic modeling, observational cohort studies, simulation modeling, data harmonization, and dissemination of findings through peer-reviewed publications and scientific presentations. The role is intended to provide advanced mentored research experience and career development for investigators pursuing independent research careers in infectious diseases, epidemiology, public health, or health services research.

The Research Scientist will collaborate across multiple ongoing studies within the Barocas Laboratory, including work involving electronic health record data, administrative claims data, cohort studies, implementation science initiatives, and policy-focused analyses. Opportunities for manuscript development, grant writing, mentorship, and interdisciplinary collaboration will be strongly supported.

Key Responsibilities:

  • Conduct advanced epidemiologic, statistical, and quantitative analyses using large observational and administrative datasets
  • Develop and implement mathematical, simulation, and decision-analytic models related to infectious diseases, substance use, homelessness, and structural vulnerability
  • Participate in development of grant proposals, progress reports, and scientific presentations
  • Assist with study design, analytic planning, data interpretation, and dissemination of findings
  • Support implementation and evaluation of research studies focused on health inequities and vulnerable populations
  • Participate in collaborative projects involving clinical, public health, and community partners
  • Participate in collaborative academic initiatives across the Department of Medicine and School of Public Health


Work Location:

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

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

  • PhD, DrPH, or equivalent doctoral degree in Epidemiology, Public Health, Biostatistics, Health Services Research, Population Health, or a closely related field
  • Demonstrated expertise in epidemiologic methods and quantitative analysis
  • Experience conducting research related to substance use, homelessness, infectious diseases, and/or health inequities
  • Experience working with large datasets and statistical software such as R, SAS, Stata, or Python
  • Evidence of scholarly productivity, including peer-reviewed publications and scientific presentations


Preferred Qualifications:

  • Postdoctoral research experience in epidemiology, infectious diseases, public health, or implementation science, or relevant work experience
  • Experience with mathematical modeling, simulation modeling, causal inference methods, or advanced longitudinal data analysis
  • Experience using electronic health record data, administrative claims data, or large cohort datasets
  • Experience working on federally funded research projects
  • Interest in community-engaged and policy-relevant research
  • Demonstrated ability to work collaboratively within interdisciplinary research teams
  • Experience mentoring students, trainees, or junior research staff


Knowledge, Skills and Abilities:

  • Strong quantitative and analytic skills
  • Ability to communicate scientific findings effectively in writing and orally
  • Ability to work independently while contributing effectively to collaborative research teams
  • Strong organizational and project management skills
  • Ability to manage multiple projects and deadlines simultaneously
  • Ability to develop reproducible and rigorous analytic workflows
  • Strong interpersonal and collaborative skills


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

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

Questions should be directed to: Joshua Barocas at [email protected]

Screening of Applications Begins:

Immediately and continuous until the position is filled. For best consideration please apply by July 01, 2026.

Anticipated Pay Range:

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

$90,000-$100,000

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

About University of Colorado

The University of Colorado is a public research university system with four campuses in Colorado: Denver, Boulder, Colorado Springs, and Anschutz Medical Campus in Aurora. The University of Colorado was founded in 1876 and is the flagship institution of the University of Colorado system. The university offers undergraduate, graduate, and professional degree programs in a wide range of fields, including business, engineering, law, medicine, and the arts and sciences. The University of Colorado is a member of the Association of American Universities and is classified as an R1: Doctoral University ? Very high research activity by the Carnegie Classification of Institutions of Higher Education.
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