Assistant Professor

University of Colorado Anschutz

Department: Biostatistics and Informatics

Job Title: Assistant Professor



Job Summary:

The Department of Biostatistics and Informatics (BIOS) at the Colorado School of Public Health (ColoradoSPH) invites applications for a full-time, tenure-eligible faculty appointment at the rank of Assistant Professor. This is an exceptional opportunity to join one of the most dynamic and forward-thinking biostatistics departments in the nation. We are a department defined by methodological innovation, deep-rooted team science, and real-world biomedical impact at the intersection of statistics, data science, and artificial intelligence.

We are seeking a creative and collaborative biostatistician whose research interests complement and extend the department's strengths. Ideal candidates will bring expertise in one or more areas where modern statistical methodology intersects with advances in AI, data science, and biomedical research. Areas of interest include, but are not limited to, machine learning and deep learning for biomedical applications, AI-integrated statistical methods, causal inference, high-dimensional and multi-omics data analysis, methods for functional and digital health data, statistical genetics and genomics, spatial and imaging statistics, clinical trial design, Bayesian methods, and predictive modeling. We particularly welcome candidates whose methodological research demonstrates impactful applications in biomedical areas that align with the research strengths and collaborative opportunities of the CU Anschutz. Examples include cancer research (e.g., molecular profiling, genomics, imaging, treatment selection, and therapeutic response), neuroscience (e.g., neuroimaging, neurophysiological signals, cognitive and neurodegenerative disorders, and models of disease progression), cardiovascular health (e.g., imaging, risk prediction, and clinical decision support), musculoskeletal health and orthopedics (e.g., imaging, movement and wearable sensor data, medical devices, surgical planning, and rehabilitation outcomes), transplantation (e.g., donor-recipient matching, rejection risk prediction, and long-term graft and patient outcomes), and other areas of translational, clinical, and population health research. Successful candidates will be expected to develop innovative statistical methods while addressing important challenges in precision medicine, clinical research, population health, and related biomedical domains.

The successful candidate will join a department that is not siloed by subfield but organized around interdisciplinary problem-solving. Faculty serve as co-investigators and collaborative partners across CU Anschutz-one of the largest and most comprehensive academic health science centers in the country-with direct connections to the School of Medicine, College of Nursing, clinical departments, and leading research institutes. If you want your statistical methods to have a direct, tangible impact on human health, this department is where that happens.

Key Responsibilities:
• Methodological Research: Develop innovative statistical and computational methods, with a focus on advancing the integration of modern biostatistical approaches with machine learning, AI, and data science tools applicable to biomedical and public health problems.
• Collaborative Research: Engage in substantive interdisciplinary collaborations across CU Anschutz, ColoradoSPH, and affiliated research institutes; serve as a co-investigator and statistical lead on funded studies in health sciences.
• Grant Development & Funding: Lead and contribute to the preparation and submission of extramural grant applications (NIH R01, R21, U01, and equivalent), securing independent and collaborative research funding to support an active research program.
• Teaching & Curriculum Development: Teach graduate-level courses in biostatistics, data science, and related methods for MPH, MS and PhD students; contribute to and innovate within the department's cutting-edge curriculum, including AI-integrated analytics and multi-omics training programs.
• Student Mentorship: Actively mentor MPH, MS and PhD students in biostatistics, guiding thesis and dissertation research, and contributing to the training of the next generation of quantitative public health scientists.
• Scholarly Contribution & Dissemination: Publish research in high-impact peer-reviewed journals; present at national and international scientific conferences; build a visible and influential scholarly presence in the field.
• Service & Departmental Citizenship: Contribute to departmental, school, and university service including committee participation, curriculum governance, and engagement in department collaborative science initiatives.

Supervision Received: The faculty member will be supervised by and report to the Chair of the Department of Biostatistics and Informatics. The Chair and senior faculty are available for mentorship and guidance in research, teaching, and career development.

Supervision Exercised: This position may include supervisory responsibilities for graduate research assistants (MS and PhD students), postdoctoral fellows, and early-career research instructors or professional research assistants.

Work Location:

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

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 address

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

Questions should be directed to: David Conti, PhD, Chair, Department of Biostatistics and Informatics, david.conti@cuanschutz.edu

Screening of Applications Begins:

Applications will be accepted until finalists are identified, but preference will be given to complete applications received by January 15, 2027. 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:

$120,000 to $150,000

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 g