Biostatistician - Research Scientist

University of Colorado•Aurora, CO

15h•Hybrid

About The Position

The Colorado School of Public Health’s Center for Innovative Design and Analysis (CIDA) at the University of Colorado Anschutz Medical Campus is seeking a Biostatistician at the Research Scientist rank. The position collaborates with CIDA faculty and the Department of Biostatistics and Informatics to provide high-level, professional, scientifically rigorous design and analysis support to biomedical researchers at CU Anschutz. The Biostatistician consults and collaborates with investigators throughout the research process, including study design, sample-size determination, analysis planning, data management, complex programming, analysis implementation, visualization, and dissemination of results. The role includes co-authoring abstracts, presentations, and scientific manuscripts. Over time, the incumbent is expected to work more independently and apply advanced methodologies to analytic challenges. The position also offers mentoring and career development support and may include mentoring junior researchers, PRAs, and graduate research assistants.

Requirements

Graduate-level training in Biostatistics, Statistics, Data Science, or a related area by the position start date.
Experience as an analytic consultant or collaborator during graduate school or post-graduate work.
Experience with Type 2 Diabetes research.
Experience collaborating in large NIH/NIDDK consortia.
Experience with multiple NIH-funded cohorts.
Experience applying unsupervised learning methods, including hard and soft clustering.
Strong knowledge of statistical principles relevant to medical research.
Ability to analyze and solve complex problems and apply quantitative analytical approaches.
Ability to investigate statistical methodology through simulation or other means.
Strong programming skills in a common statistical software package, such as SAS or R.
Ability to work with high-performance computing environments and cloud computing.
Good organizational skills across multiple projects and the ability to manage a self-directed workload.
Positive attitude and ability to work with biomedical investigators and colleagues.
Ability to contribute to the growth and development of CIDA and the Department.
Strong written and oral communication skills, including responsiveness, humility, and communication appropriate to varied audiences.

Nice To Haves

At least one year of experience with data management and integration of data sources.
At least one year of experience serving as a biostatistician or data analyst on multiple projects.
Demonstrated ability to contribute successfully to the analytic elements of multiple projects simultaneously.
Proficiency in several statistical programming languages.
Demonstrated ability to work in a high-performance computing environment.
Equivalent combinations of education, training, and experience that provide the required knowledge, skills, and abilities.

Responsibilities

Collaborate with investigators on study design, sample-size determination, analysis plans, and robust study methodologies.
Manage data, including pre-processing and integration of complex datasets.
Implement and optimize complex statistical programming using tools such as R and Python for exploratory data analysis, modeling, and downstream analysis.
Create data visualizations and contribute to disseminating research findings.
Co-author abstracts, oral and poster presentations, and scientific manuscripts.
Provide design and analysis support under the guidance of doctoral-level biostatisticians.
Mentor junior researchers, PRAs, and graduate research assistants as needed.