Sr. Biostatistician

University of Chicago•Hyde Park, IL

1d•Onsite

About The Position

The job performs a range of activities to support the statistical design and implementation of research analysis. Uses knowledge of statistics to communicate analyses for research proposals and draft reports detailing their results. Follows objectives and procedures for sampling, randomization, data collection, analysis, and quality control. The Sr. Biostatistician will be responsible for assisting investigators in the design of both basic science and clinical studies, for assisting in the implementation of these studies (e.g., randomizing treatment assignment, interim monitoring of data quality and outcomes, etc.), and for analyzing the resulting data for presentation and publication. They will be responsible for creating workflows for data management and analysis that are both efficient and reproducible, and for producing publishable displays, both tabular and graphical, of data and analytic results. The Sr. Biostatistician will also be responsible for documenting their work in the form of written reports and sections to be included in grant proposals and manuscripts for publication. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.

Requirements

College or university degree in related field.
Knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Nice To Haves

Master’s degree in Statistics, Biostatistics, Data Science, or Data Analytics.
At least one course each in mathematical statistics (e.g., point estimation, confidence intervals, hypothesis testing, large sample theory, asymptotic efficiency, exponential families, decision theory, etc.), linear models, and longitudinal (or panel) data analysis.
Course(s) in at least two of the following areas: generalized linear models, categorical data analysis, survey sampling, survival analysis, epidemiological methods, mixed, hierarchical or latent variable models, or multivariate analysis.
Courses in computer science, especially those focusing on programming essentials, data structures and/or databases, statistical computing and machine learning.
Experience within an academic environment.
Experimental design including basic science experiments, clinical trials and/or population-based studies, addressing issues such as sampling or recruitment, allocation to treatment(s), randomization strategies, and development of an analytic plan.
Experience performing sample size and power calculations using both analytical methods, statistical software, and simulations.
Experience manipulating and analyzing data from electronic medical records or health care claims.
Proficiency in Stata, R, or Python.
Demonstrated ability and willingness to learn new analytic software and tools.
Strong verbal and written communication skills, including the ability to prepare manuscripts for publication, grant proposals, and technical documentation.
Proficiency in programming for reproducible research methods.

Responsibilities

Provides statistical guidance in designing studies to answer scientific questions, including basic science experiments, animal studies, clinical trials and population-based studies.
Advises clinical investigators in collecting, managing and analyzing their data.
Generate interim analysis and statistical reports as needed.
Assist investigators in the interpretation of the results.
Provides support for generation of abstracts and manuscripts for publication, including writing of Statistical Methods sections.
Performs a range of activities to facilitate the design of research project and the publication of their results.
Uses knowledge of statistics to help develop objectives and statistical procedures for the project.
Analyzes data and prepares data tables, charts, and graphs for reports.
Writes grant proposals for faculty throughout the unit.
Writes statistical computer programs and reviews computer output for consistency and quality.
Performs other related work as needed.