Biological Sciences Division at the University of Chicago
Sr. Data Analyst, Health Services
Biological Sciences Division at the University of Chicago, Chicago, Illinois, United States, 60290
Sr. Data Analyst, Health Services
Department:
Biological Sciences Division at the University of Chicago
Job Summary:
The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University’s various internal data systems as well as from external sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support the research efforts of faculty members focused on surgical health services and implementation outcomes research.
Responsibilities
Conducts statistical analysis to support surgical outcomes and health services research.
Manages and analyzes large national datasets, including clinical datasets (e.g., NSQIP) and administrative datasets (e.g., Medicare, Marketscan).
Oversees and guides resident and fellow-led research projects by providing data support and analytic mentorship.
Collaborates with study investigators to design analytic plans and interpret results.
Maintains organized, reproducible code and data management workflows.
Serves as the dedicated research data resource for multiple projects across varying stages of development.
Develops and maintains research databases, ensuring data integrity and compliance.
Assists in preparing datasets, figures, tables, and summaries for grant proposals, manuscripts, and presentations.
Coordinates with external collaborators and data partners as needed.
Supports data processing and reporting of a multistate surgical quality improvement collaborative.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs.
Performs other related work as needed.
Minimum Qualifications
College or university degree in a related field.
Preferred Qualifications
Master’s degree in Biostatistics, Epidemiology, Data Science, Public Health, Health Informatics, or related field.
Experience mentoring or supporting trainee research (e.g., residents, fellows).
Prior experience working in an academic medical center or research institute setting.
Preferred Competencies
Proficiency in statistical software (e.g., R, SAS, or Stata) and data management tools.
Familiarity with working with large clinical datasets or national registries (e.g., NSQIP).
Strong understanding of clinical research principles and methodology.
Excellent organizational skills and ability to manage multiple projects simultaneously.
Familiarity with health services research or outcomes-focused studies.
Knowledge of database query languages (e.g., SQL).
Application Documents
Resume (required)
Cover Letter (preferred)
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:
$70,000.00 - $100,000.00
Benefits Eligible:
Yes
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.
#J-18808-Ljbffr
Biological Sciences Division at the University of Chicago
Job Summary:
The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University’s various internal data systems as well as from external sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support the research efforts of faculty members focused on surgical health services and implementation outcomes research.
Responsibilities
Conducts statistical analysis to support surgical outcomes and health services research.
Manages and analyzes large national datasets, including clinical datasets (e.g., NSQIP) and administrative datasets (e.g., Medicare, Marketscan).
Oversees and guides resident and fellow-led research projects by providing data support and analytic mentorship.
Collaborates with study investigators to design analytic plans and interpret results.
Maintains organized, reproducible code and data management workflows.
Serves as the dedicated research data resource for multiple projects across varying stages of development.
Develops and maintains research databases, ensuring data integrity and compliance.
Assists in preparing datasets, figures, tables, and summaries for grant proposals, manuscripts, and presentations.
Coordinates with external collaborators and data partners as needed.
Supports data processing and reporting of a multistate surgical quality improvement collaborative.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs.
Performs other related work as needed.
Minimum Qualifications
College or university degree in a related field.
Preferred Qualifications
Master’s degree in Biostatistics, Epidemiology, Data Science, Public Health, Health Informatics, or related field.
Experience mentoring or supporting trainee research (e.g., residents, fellows).
Prior experience working in an academic medical center or research institute setting.
Preferred Competencies
Proficiency in statistical software (e.g., R, SAS, or Stata) and data management tools.
Familiarity with working with large clinical datasets or national registries (e.g., NSQIP).
Strong understanding of clinical research principles and methodology.
Excellent organizational skills and ability to manage multiple projects simultaneously.
Familiarity with health services research or outcomes-focused studies.
Knowledge of database query languages (e.g., SQL).
Application Documents
Resume (required)
Cover Letter (preferred)
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:
$70,000.00 - $100,000.00
Benefits Eligible:
Yes
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.
#J-18808-Ljbffr