The University Of Chicago
Research Data Analyst
The University Of Chicago, Chicago, Illinois, United States, 60290
Department
BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Data Analysts
About the Department
The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences Division at the University of Chicago Medicine. CCHE aims to eliminate all new HIV transmission events by 2041. The University of Chicago's position on the South Side makes it uniquely situated to test, treat, and prevent new HIV infections in a highly affected population.
Job Summary
The Research Data Analyst will be responsible for analyzing cutting-edge bio-behavioral health and network epidemiological datasets, and reporting results from their analyses. The candidate will assist with the development of abstracts, posters, and presentations for local and national conferences, manuscripts, and other research outputs.
Responsibilities
Working with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
Creating analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
Documenting source code and data management and analysis procedures.
Preparing tables and figures for manuscripts, abstracts, and other scientific publications.
Contributing to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
Presenting results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
Participating in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
Providing assistance with power calculations and proposed analytic strategies for new grant proposals.
Depending on expertise and experience, the candidate may provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
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 principles of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
None required.
Preferred Qualifications
Education:
Advanced degree in a related field.
Experience:
Familiarity with areas including HIV/STI prevention research, epidemiologic study design, network analysis, public health surveillance, and/or clinical and social science research methods.
Experience working on health and/or social science research projects.
Experience with longitudinal data, network data, or other clustered data structures.
Experience with manipulation of large databases and consolidation and synthesis of data from multiple sources.
Ability to identify and expand knowledge of new software and analytic tools to support evolving Center needs.
Knowledge of high performance computing systems, Git and version control systems, and experience with Unix/Linux systems.
Preferred Competencies
Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information (HIV/STI testing data).
Meticulous attention to detail and excellent organizational skills.
Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.
Strong interpersonal skills and the ability to work both independently and as part of a team.
Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a lay audience.
Flexibility, creativity, and problem-solving skills.
Ability to collaborate with colleagues from diverse academic and professional backgrounds.
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
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
40
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.
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BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Data Analysts
About the Department
The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences Division at the University of Chicago Medicine. CCHE aims to eliminate all new HIV transmission events by 2041. The University of Chicago's position on the South Side makes it uniquely situated to test, treat, and prevent new HIV infections in a highly affected population.
Job Summary
The Research Data Analyst will be responsible for analyzing cutting-edge bio-behavioral health and network epidemiological datasets, and reporting results from their analyses. The candidate will assist with the development of abstracts, posters, and presentations for local and national conferences, manuscripts, and other research outputs.
Responsibilities
Working with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
Creating analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
Documenting source code and data management and analysis procedures.
Preparing tables and figures for manuscripts, abstracts, and other scientific publications.
Contributing to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
Presenting results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
Participating in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
Providing assistance with power calculations and proposed analytic strategies for new grant proposals.
Depending on expertise and experience, the candidate may provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
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 principles of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
None required.
Preferred Qualifications
Education:
Advanced degree in a related field.
Experience:
Familiarity with areas including HIV/STI prevention research, epidemiologic study design, network analysis, public health surveillance, and/or clinical and social science research methods.
Experience working on health and/or social science research projects.
Experience with longitudinal data, network data, or other clustered data structures.
Experience with manipulation of large databases and consolidation and synthesis of data from multiple sources.
Ability to identify and expand knowledge of new software and analytic tools to support evolving Center needs.
Knowledge of high performance computing systems, Git and version control systems, and experience with Unix/Linux systems.
Preferred Competencies
Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information (HIV/STI testing data).
Meticulous attention to detail and excellent organizational skills.
Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.
Strong interpersonal skills and the ability to work both independently and as part of a team.
Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a lay audience.
Flexibility, creativity, and problem-solving skills.
Ability to collaborate with colleagues from diverse academic and professional backgrounds.
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
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
40
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.
#J-18808-Ljbffr