Sr. Biostatistician

University of Chicago•Chicago, IL

1d•$70,000 - $110,000

About The Position

The Sr. Biostatistician supports the statistical design and implementation of research analyses. The role applies statistical knowledge to communicate analyses for research proposals and draft reports, and follows objectives and procedures for sampling, randomization, data collection, analysis, and quality control. The position assists investigators with designing basic science and clinical studies, implementing studies—including treatment randomization and interim monitoring of data quality and outcomes—and analyzing results for presentation and publication. It develops efficient, reproducible workflows for data management and analysis; creates publishable tables and graphical displays; and documents work in written reports and sections for grant proposals and manuscripts. This at-will position is wholly or partially funded by contractual grant funding. Continued employment depends on continued receipt of grant funds and satisfactory job performance.

Requirements

College or university degree in a related field.
Two to five years of work experience in a related job discipline, or knowledge and skills developed through such experience.

Nice To Haves

Master’s degree in Statistics, Biostatistics, Data Science, or Data Analytics.
Coursework in mathematical statistics, linear models, and longitudinal or panel data analysis.
Coursework in at least two of the following: generalized linear models, categorical data analysis, survey sampling, survival analysis, epidemiological methods, mixed, hierarchical or latent variable models, or multivariate analysis.
Computer science coursework, especially programming essentials, data structures, databases, statistical computing, or machine learning.
Experience in an academic environment.
Experimental design experience with basic science experiments, clinical trials, or population-based studies, including sampling or recruitment, treatment allocation, randomization strategies, and analytic plan development.
Experience performing sample size and power calculations using analytical methods, statistical software, and simulations.
Experience manipulating and analyzing electronic medical records or health care claims data.
Proficiency in Stata, R, or Python.
Ability and willingness to learn new analytic software and tools.
Strong verbal and written communication skills, including preparing manuscripts, grant proposals, and technical documentation.
Proficiency in programming for reproducible research methods.

Responsibilities

Provide statistical guidance on designing studies to answer scientific questions, including basic science experiments, animal studies, clinical trials, and population-based studies.
Advise clinical investigators on data collection, management, and analysis, and generate interim analyses and statistical reports as needed.
Assist investigators in interpreting results.
Support the preparation of abstracts and manuscripts for publication, including writing Statistical Methods sections.
Help develop project objectives and statistical procedures to facilitate research design and publication of results.
Analyze data and prepare tables, charts, and graphs for reports.
Write grant proposals for faculty throughout the unit.
Write statistical computer programs and review computer output for consistency and quality.
Perform other related work as needed.