Preferred Competencies
Department
BSD PHS - Biostatistics
About the Department
Job Summary
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. Generates interim analyses and statistical reports as needed.
Assists 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.
Writes statistical computer programs and reviews computer output for consistency and quality.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Education:
Masters degree in Statistics, Biostatistics, Data Science, or related.
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:
At least two years of recent experience in the analysis of quantitative research data 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.
Preferred Competencies
Strong skills in either Stata, R or SAS; ability and willingness to learn new analytic software.
Strong communication skills.
Excellent writing skills, including writing papers for publication, grant proposals and technical documentation.
Good programming and data management skills.
Application Documents
Resume (required)
Cover letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the Universitys good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in theBenefits Guidebook .
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history.A conviction does not automatically preclude University employment.Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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