Open Rank: Biostatistician - Research Scientist or Senior Research Scientist

University of Colorado•Aurora, CO

2d•$78,000 - $125,000•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/Bioinformatician at the Research (Sr.) Instructor rank to join its team. The position is specifically focused on the analysis of omics data (genetic, microbiome, epigenetic, proteomic and/or metabolomic data) in the biomedical sciences. In this role, you will collaborate with experienced faculty in CIDA and the Department of Biostatistics and Informatics. The individual in this position will consult and collaborate with investigators on all aspects of the research process, including the design of new studies (sample size and analysis planning), data management, complex programming, analysis implementation and data visualization, and dissemination of results. You will be expected to co-author abstracts, oral and poster presentations, and scientific manuscripts, providing high-level, professional, and scientifically rigorous design and analysis support to biomedical researchers at CU Anschutz. CIDA is dedicated to expanding analytics expertise and research across the CU Anschutz Medical Campus, the largest academic health center in the Rocky Mountain region. This position offers a unique opportunity to work on innovative projects that directly impact public health while receiving mentoring and career development support. Over time, you will be expected to work more independently and apply more advanced methodologies to solve analytic challenges. As part of a dynamic team committed to promoting diversity, equity, and inclusion in research and public health practice, you will have the chance to grow professionally while contributing to the advancement of health equity.

Requirements

A MS in Biostatistics, Statistics, Data Science, Bioinformatics or related area of graduate level training at the start date of the position.
Experience as an analytic consultant or collaborator in graduate school or post-graduate work.
Experience with omics data (genetic, microbiome, epigenetic, proteomic and/or metabolomic data)
At least 5 years of post-graduate experience as an analytic consultant or collaborator.
Evidence of independence or leadership on research teams.
Applicants must meet minimum qualifications at the time of hire.
Data management, data pre-processing, exploratory data analysis, modeling, and downstream analysis of ‘omics data sets, in addition to the integration of multiple omics data types
Strong knowledge of statistical principles relevant in medical research.
Ability to analyze and solve complex problems and apply quantitative analytical approaches.
Ability to investigate the properties of statistical and bioinformatics methodology through simulation or other means.
Strong programming skills in a common programming language (such as R, python).
An ability to work with high performance computing environments and cloud computing.
Good organizational skills across multiple projects, managing own workload, self-directed.
Excellent written and verbal communication skills.
Positive attitude and the ability to work with a variety of biomedical investigators and colleagues.
Ability to contribute to the growth and development of the CIDA and the Department.
Strong written and oral communication skills, including the ability to be culturally responsive and exercise cultural humility while communicating appropriately and effectively with diverse audiences
Demonstrated commitment to promoting health equity and/or health justice.
Ability to advise on study design and write data analysis sections in grant application or protocols.
Ability to supervise more junior analysts and graduate students.

Nice To Haves

1+ year of experience with data management and integration of data sources.
1+ year of experience serving as a biostatistician, bioinformatician or data analyst on multiple projects.
Demonstrated ability of successfully contributing to the analytic elements of multiple projects simultaneously.
Proficiency in several software languages.
Demonstrated ability to work in a high-performance computing environment.
5+ years of experience with data management and integration of data sources.
5+ years of experience serving as a biostatistician, bioinformatician or data analyst on multiple projects.
Demonstrated ability to compare analytic approaches using simulation or a similar alternative to suggest best-practices for new situations.
Demonstrated ability to advise on study design and write data analysis sections in grant application or protocols.
Evidence of continued coding or analytic skill development.
Demonstrated ability to supervise junior analysts and graduate students.

Responsibilities

Collaborate on Research Design: Work with investigators to design new studies, including determining appropriate sample sizes, developing analysis plans, and ensuring robust study methodologies.
Data Management and Integration: Oversee data management tasks, including data pre-processing and integration of complex datasets.
Advanced Programming and Analysis: Implement and optimize complex programming techniques using tools like R and Python to conduct exploratory data analysis, modeling, and downstream analysis.
Visualization and Dissemination: Create data visualizations and contribute to the dissemination of research findings through co-authoring abstracts, presentations, and scientific manuscripts.
Collaboration and Mentorship: Provide high-level design and analysis support under the guidance of doctoral-level biostatisticians/bioinformaticians, while at times mentoring junior researchers, PRAs, and graduate research assistants as needed.