At a Glance

Department of Biostatistics & Informatics

Our Mission

Provide

high-quality education and professional development opportunities.

Advance

innovative research and methodologies in our field.

Foster

collaboration and interdisciplinary partnerships for real-world impact.

Serve

our community, industry, and stakeholders through outreach and engagement.

Rankings

US News & World Report

Ranked No. 22 among all biostat departments, and No. 12 among those at public institutions.

The Colorado School of Public Health ranked No.16 among all Colleges of Public Health, and No. 7 among those at public institutions.

Colorado Summer Institute in Biostatistics

CoSIBS is a Summer Institute in Biostatistics (SIBS) program that is sponsored by a grant from the National Heart Lung and Blood Institute (NHLBI) of the National Institutes of Health (NIH). The purpose of the NHLBI SIBS program is to introduce advanced undergraduate and early-stage graduate students to the field of biostatistics and the frontiers of data sciences. We have enrolled XX students over nearly 10 years.

Go to COSIBS Page

Personnel & Resources

19 core faculty

10 Team Science Faculty

16 Master’s Core

125 graduate students
35 PhD | 31 MS | 59 MPH

Nearly all students are supported by half-time research or teaching assistantships

Extensive collaboration across CU Anschutz, supporting close to 13M in grant funding, and over two dozen collaborative partnerships.

Grant Funding: $12,838,742.00

Grants Submitted: 28

Grants as Principal Investigators (PI): 37

Faculty Areas of Expertise

Adaptive clinical trial designs
Administrative health record data, claims data
Artificial Intelligence, machine learning, deep learning
Bayesian inference, Bayesian methods, Bayesian hierarchical modeling, Bayesian modeling
Bioinformatics, genomics, epigenomics, proteomics, metabolomics, omics, multi-omics
Biomarker discovery, validation, and evaluation, proteomic biomarker development
Chronic obstructive pulmonary disease
Clustering methods, dimension reduction
Collaborative biostatistics, collaborative team science, best practices for statistical collaboration
Comparative effectiveness analysis using propensity score methods
Complex data management, heterogeneous signals analysis, mixed data types integration
Causal inference, observational studies
CT imaging biomarkers, medical image analysis, medical image computing (PET, CT, MRI, ultrasound, X-ray, microscopy, digital pathology), image biomarker discovery, segmentation, classification, registration, retrieval, synthesis
Data integration, multi-modal data integration
Data safety and monitoring
Data visualization, visual analysis, human-centered computing
Discrete data methods
Early life determinants of diabetes and obesity in children
EHR observational analyses
Endocrinology research, reproductive health
Environmental Health
Evaluation of serum biomarkers for health outcomes
Factor analysis, psychometric methods, structural equation modeling, hierarchical linear modeling
General clinical research

Health outcomes research
Hematology
High-dimensional inference, high-dimensional regression, statistical analysis of network data, network analysis, network models
Interpretability in machine learning
Joint models, multivariate longitudinal models, methodological development for joint models
Linkage analysis, statistical genetics
Longitudinal and correlated data, longitudinal data analysis, non-normal longitudinal data analysis, structured correlation analysis
Machine learning methods for biomedical applications, predictive modeling for time-to-event and binary outcomes
Meta-analysis, meta-analyses
Methods for incorporating information sharing
Microbiome, microbiome data analysis, microbiome-metabolome interactions
Mixture modeling
Missing data methods
Model development, model selection
Permutation methods
Prediction modeling, predictive modeling
SAS programming, statistical computation/software
Single-cell data analysis
Statistical methods for image computing, statistical methods for network data
Substance use disorders
Survival analysis
Wearable device data

Alumni Positions

Department alumni have received positions in academia, pharmaceutical industries, biomedical research institutes, government agencies, and major corporations outside of the health sciences.

Academic and Research Positions

Postdoctoral Fellowships

NIH
Harvard University
CU Boulder

Faculty & Research Roles

Assistant Professor – National Jewish Health (NJH)
Assistant Professor – BIOS Department
Research Instructor – RI
Research Associate – ACCORDS, Center for Innovative Design & Analysis (CIDA)
Fellow in Neonatology

Academic Institutions & Affiliated Research Centers

CU Anschutz
Stanford University
Harvard University
University of Missouri
Boise State University (PhD program)
University of Pittsburgh Children's Hospital
Children's Hospital Colorado
Colorado VA

Industry & Private Sector

Pharmaceutical & Biotech
Principal Statistician – GSK
Senior Biostatistician – Parexel
Senior Biostatistician – Tigermed
Principal Biostatistician – Boston Scientific
Bioinformatics Scientist – Horizon Discovery
Biostatistician – National Jewish Health
Applied Scientist (ML Engineer) – Amazon

Healthcare & Data Science

Research Scientist – CIDA
Research Scientist – Children's Hospital Colorado
Health Science Specialist – VA
Data Manager
Senior Clinical Data Scientist
Senior Data Analyst – DaVita

Technology & Innovation

Lead Data Scientist
Vice President, Statistical Innovation Group – Medidata Solutions
Machine Learning Engineer – Workiva

Government & Public Health

Bioinformatician – Colorado Department of Public Health (CDPHE)
Research Analyst – Colorado Center for Personalized Medicine
IT Principal Professional – Health Data Compass

Other Notable Placements

Industry positions in Carlsbad, CA (Molecular Assemblies)
Industry roles in Neptune
Various research and consulting roles at CIDA
Research Consultant

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