Research Statistician

University of Chicago; Chicago (IL); On-site; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a dedicated individual for a role in Urogynecology and Reconstructive Surgery. This position involves analyzing complex datasets, applying statistical methodologies, and collaborating with a multidisciplinary team to enhance patient care. Successful candidates will have a strong background in statistics and programming, with experience in academic medical centers. Join a team dedicated to innovative research and high-quality clinical care, contributing to groundbreaking projects that improve the lives of women with pelvic floor disorders. This is an exciting opportunity to make a significant impact in a supportive and collaborative environment.

Benefits

Health Insurance

Retirement Plans

Paid Time Off

Professional Development Opportunities

Flexible Work Hours

Qualifications

• Minimum 2 years of experience in a related field.
• Proficient in statistical programming and data analysis.

Responsibilities

• Analyze data and prepare reports for research projects.
• Collaborate with researchers to design and implement studies.

Skills

Statistical Programming

Data Analysis

Machine Learning

Collaboration

Problem-Solving

Education

Degree in Statistics

Degree in Biostatistics

Tools

REDCap

R

Python

SAS

SPSS

Stata

MS Office Suite

Zoom

MS Teams

Job description

Department

BSD OBG - Uro

About The Department

The Section of Urogynecology and Reconstructive Surgery is part of the Department of Obstetrics and Gynecology. The Urogynecology team provides a personalized and integrated patient care experience across 6 fully equipped clinical sites to allow women with pelvic floor disorders to have world class urogynecologic care close to their homes. The section includes 5 board-certified urogynecologic surgeons and 5 advanced practiced providers who work collaboratively to care for women with pelvic floor disorders. Teaching, research, and the highest quality clinical care are top priorities for the section. Urogynecology and Reconstructive Pelvic Surgery at UC Medicine offer patients’ participation in innovative clinical research trials.

Job Summary

The Section of Urogynecology and Reconstructive Surgery is part of the Department of Obstetrics and Gynecology. The Urogynecology team provides a personalized and integrated patient care experience across 6 fully equipped clinical sites to allow women with pelvic floor disorders to have world class urogynecologic care close to their homes. The section includes 5 board-certified urogynecologic surgeons and 5 advanced practiced providers who work collaboratively to care for women with pelvic floor disorders. Teaching, research, and the highest quality clinical care are top priorities for the section. Urogynecology and Reconstructive Pelvic Surgery at UC Medicine offer patients’ participation in innovative clinical research trials.

This job performs a broad range of operational activities, which may include collecting, organizing, visualizing, and analyzing research data. This job also performs assignments related to data manipulation, statistical applications,

programming, analysis and modeling.

This will involve implementing state of the art methodologies for imaging and data analysis. The individual may participate in publications and presentations resulting from the work.

Successful candidates will have a degree in statistics, biostatistics, or a related field. A successful applicant will be proficient in statistical programming (or related language); have experience with REDCap; be familiar with software used for statistical analyses, such as R, Python, SAS, SPSS, Stata, etc.; a successful applicant will have the ability to work effectively in a multidisciplinary collaborative environment.

Responsibilities

• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
• Relies on administrative guidance and review, collaborates with researchers in designing, implementing, and monitoring research projects and assumes primary responsibility for the analysis and presentation of project data.
• With researcher guidance assists in developing objectives, designing sampling, randomization, and data collection procedures to achieve study objectives.
• Analyzes data and prepares tables for interim and final reports. Designs tables and statistical procedures for specific research studies.
• Maintains collaboration with other research support personnel, including analysts and programmers in monitoring and assessing data quality.
• Performs other related work as needed.
  
  

Education:

Minimum Qualifications

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.

Certifications:

Preferred Qualifications

Education:

• Degree in statistics, biostatistics, or a related field.
  
  

Experience:

• Experience working in an Academic Medical Center.
• Experience supporting physicians/faculty.
• Experience supporting leadership positions.
  
  

Preferred Competencies

• Excellent written and oral communication.
• Organization.
• Problem-solving.
• Collaboration.
• Attention to detail.
• Able to work autonomously.
• Skills with a wide variety of digital collaboration tools (Zoom, MS Teams, etc.).
• Proficiency in MS Office Suite.
  
  

Working Conditions

• Ability to use a computer for extended periods.
  
  

Application Documents

• Resume (required)
• Cover Letter (required)
  
  

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

FLSA Status

Exempt

Pay Range

$60,000.00 - $80,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

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 the Benefits 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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