Hybrid Biostatistician & Research Scientist for Public Health

University of Colorado Anschutz; Aurora (CO); On-site; USD 78,000 - 90,000; Full time

Job summary

University of Colorado Anschutz Medical Campus is seeking a Biostatistician-Research Scientist to collaborate with faculty on study design, data management, and advanced analysis. You will contribute to e analyses, visualization, and dissemination of results, co-authoring abstracts and manuscripts with doctoral-level statisticians.

The role offers hybrid work options and opportunities for mentoring, career development, and engagement with NIH-funded projects within the CIDA team.

Qualifications

• Biostatistics/Statistics/Data Science graduate-level training is required.
• 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.

Responsibilities

• Collaborate on Research Design: design new studies, determine sample sizes, develop analysis plans, ensure robust methodologies.
• Data Management and Integration: oversee data pre-processing and integration of complex datasets.
• Advanced Programming and Analysis: implement complex statistical programming using R and Python for EDA, modeling, and downstream analysis.
• Visualization and Dissemination: create data visualizations and co-author abstracts, presentations, manuscripts.
• Mentorship: provide high-level design and analysis support; mentor junior researchers as needed.

Skills

Biostatistics training

Analytics collaboration

Diabetes research

NIH consortia experience

NIH cohorts experience

Unsupervised learning

Education

Graduate in Biostatistics/Statistics/Data Science

Tools

SAS

R

Python

Job description

University of Colorado Anschutz Medical Campus is seeking a Biostatistician-Research Scientist to collaborate with faculty on study design, data management, and advanced analysis. You will contribute to e analyses, visualization, and dissemination of results, co-authoring abstracts and manuscripts with doctoral-level statisticians.

The role offers hybrid work options and opportunities for mentoring, career development, and engagement with NIH-funded projects within the CIDA team.