Biostatistician - Research Scientist

Job Summary:

Are you passionate about advancing public health through innovative research? 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 to join its team. 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 research and public health practice, you will have the chance to grow professionally while contributing to the advancement of health initiatives.

Key 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 statistical 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, while at times mentoring junior researchers, PRAs, and graduate research assistants as needed.

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.

Why Join Us:

The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top-tier faculty and students from across the country and providing vital contributions towards ensuring our region’s health and well-being. Collaboratively formed in 2008 by CU Anschutz, CSU, and UNC, the Colorado School of Public Health provides education programs, including a Master’s concentration in global health, innovative research that places the School in the top 20 in NIH funding among Schools of Public Health, and community service that addresses public health issues including chronic disease, healthcare access, climate, and environmental threats, emerging infectious diseases, population mental health, ONE HEALTH and injuries for the Rocky Mountain region, nationally and globally.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

• Medical: Multiple plan options
• Dental: Multiple plan options
• Additional Insurance: Disability, Life, Vision
• Retirement 401(a) Plan: Employer contributes 10% of your gross pay
• Paid Time Off: Accruals over the year (based on percentage of time)
• Vacation Days: 22/year (maximum accrual 352 hours)
• Sick Days: 15/year (unlimited maximum accrual)
• Holiday Days: 11/year
• Tuition Benefit: Employees have access to this benefit on all CU campuses
• ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

· A Biostatistics, Statistics, Data Science, 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 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.

Preferred Qualifications:

· 1+ year of experience with data management and integration of data sources.

· 1+ year of experience serving as a biostatistician or data analyst on multiple projects.

· Demonstrated ability of successfully contributing to the analytic elements of multiple projects simultaneously.

· Proficiency in several statistical programming software languages.

· Demonstrated ability to work in a high-performance computing environment.

· Or equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills and abilities.

Knowledge, Skills and Abilities:

· Strong knowledge of statistical principles relevant