University of Chicago
Data Science Analyst - Precision Analytics
University of Chicago, Chicago, Illinois, United States, 60290
Data Science Analyst – Precision Analytics
University of Chicago pay range:
Base pay range
$70,000.00/yr – $100,000.00/yr. Adjusted based on skills and experience.
Department BSD PSY – Lyons Lab
About The Department To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well‑being of individuals, families, and their communities.
Job Summary The role provides professional support and solves problems in collecting, organizing, and analyzing information from the University’s internal data systems and external sources. The Analyst performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling to support projects. They support data and analytics work by collecting, analyzing, and interpreting data to inform decision‑making, program improvement, and research; ensuring data accurate, accessible, and actionable.
Responsibilities
Collect, clean, and organize data from multiple sources.
Conduct analyses using statistical and computational methods.
Develop data visualizations, dashboards, and reports to share findings.
Collaborate with program, training, and operations teams to apply data insights to projects.
Ensure data quality, security, and integrity across systems.
Contribute to cross‑team initiatives by embedding data‑informed practices.
Develop and code data dictionaries for discrete data.
Write, implement, and develop efficient code and machine‑learning tools and pipelines for data processing and analysis.
Work with collaborators to implement emerging external computational tools for program data.
Develop training material.
Keep lab knowledge‑based training up to date.
Calibrate data between large and complex research and administrative datasets; guide and set operational protocols for collecting and analyzing information.
Design and evaluate statistical models and reproducible data processing pipelines using best practices in machine‑learning and statistical inference.
Provide expertise for high‑level or complex data‑related requests and engage other IT resources as needed.
Analyze moderately complex data sets to extract and purposefully use applicable information.
Provide professional support to staff or faculty members in defining projects and applying data science principles.
Perform other related work as needed.
Education & Minimum Qualifications Minimum: college or university degree in a related field.
Work Experience 2–5 years of work experience in a related job discipline.
Preferred Qualifications Education
Advanced degree.
Experience
Experience in Python including Torch and scikit‑learn libraries strongly preferred.
Experience with image data or unstructured text data using large language models.
Preferred Competencies
Proficiency in Python, R, SQL, or other statistical programming languages.
Experience with data visualization platforms such as Tableau or Power BI.
Strong analytical and problem‑solving skills.
Ability to communicate complex findings in accessible ways.
Detail‑oriented with a commitment to data accuracy and quality.
Experience working with research or program evaluation data strongly preferred.
Proficiency in Microsoft Office 365.
Strong analytical skills.
Problem‑solving skills.
Organizational skills.
Verbal and written communication skills.
Ability to work independently and as part of a team.
Application Documents
Resume (required)
Cover Letter (required)
Job Family : Research
Role Impact : Individual Contributor
Schedule & Hours : 40 hours per week
Drug Test : No
Health Screen : No
Motor Vehicle Record Inquiry : No
Pay Rate Type : Salary
FLSA Status : Exempt
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 the 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. The University considers conviction information on a case‑by‑case basis.
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Base pay range
$70,000.00/yr – $100,000.00/yr. Adjusted based on skills and experience.
Department BSD PSY – Lyons Lab
About The Department To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well‑being of individuals, families, and their communities.
Job Summary The role provides professional support and solves problems in collecting, organizing, and analyzing information from the University’s internal data systems and external sources. The Analyst performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling to support projects. They support data and analytics work by collecting, analyzing, and interpreting data to inform decision‑making, program improvement, and research; ensuring data accurate, accessible, and actionable.
Responsibilities
Collect, clean, and organize data from multiple sources.
Conduct analyses using statistical and computational methods.
Develop data visualizations, dashboards, and reports to share findings.
Collaborate with program, training, and operations teams to apply data insights to projects.
Ensure data quality, security, and integrity across systems.
Contribute to cross‑team initiatives by embedding data‑informed practices.
Develop and code data dictionaries for discrete data.
Write, implement, and develop efficient code and machine‑learning tools and pipelines for data processing and analysis.
Work with collaborators to implement emerging external computational tools for program data.
Develop training material.
Keep lab knowledge‑based training up to date.
Calibrate data between large and complex research and administrative datasets; guide and set operational protocols for collecting and analyzing information.
Design and evaluate statistical models and reproducible data processing pipelines using best practices in machine‑learning and statistical inference.
Provide expertise for high‑level or complex data‑related requests and engage other IT resources as needed.
Analyze moderately complex data sets to extract and purposefully use applicable information.
Provide professional support to staff or faculty members in defining projects and applying data science principles.
Perform other related work as needed.
Education & Minimum Qualifications Minimum: college or university degree in a related field.
Work Experience 2–5 years of work experience in a related job discipline.
Preferred Qualifications Education
Advanced degree.
Experience
Experience in Python including Torch and scikit‑learn libraries strongly preferred.
Experience with image data or unstructured text data using large language models.
Preferred Competencies
Proficiency in Python, R, SQL, or other statistical programming languages.
Experience with data visualization platforms such as Tableau or Power BI.
Strong analytical and problem‑solving skills.
Ability to communicate complex findings in accessible ways.
Detail‑oriented with a commitment to data accuracy and quality.
Experience working with research or program evaluation data strongly preferred.
Proficiency in Microsoft Office 365.
Strong analytical skills.
Problem‑solving skills.
Organizational skills.
Verbal and written communication skills.
Ability to work independently and as part of a team.
Application Documents
Resume (required)
Cover Letter (required)
Job Family : Research
Role Impact : Individual Contributor
Schedule & Hours : 40 hours per week
Drug Test : No
Health Screen : No
Motor Vehicle Record Inquiry : No
Pay Rate Type : Salary
FLSA Status : Exempt
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 the 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. The University considers conviction information on a case‑by‑case basis.
#J-18808-Ljbffr