Data Science Analyst

Department
 

BSD MED - Section Administrator: Hematology and Oncology Research Staff- Pearson

About the Department
 

The Pearson Lab performs data science and machine learning research for clinical oncology applications. The Pearson Lab is situated in the Section of Hematology/Oncology within the Department of Medicine in the Biological Sciences Division of the University of Chicago.

Job Summary
 

Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, curating, and analyzing information from various internal and external data sets and systems. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling. This job will also perform project management work such as managing timelines, communications with collaborators, and meeting organization. This job may also perform manual digital image annotations for clinical and basic science projects with supervision from content experts.

Responsibilities

• Performs task management activities for ongoing projects. This may include professional communication with collaborators, timeline management, and meeting organization.

• Performs manual digital file or image annotation with instruction and supervision.

• 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.

• Performs other related work as needed.

Minimum Qualifications
 

Education:

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

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Work Experience:

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

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Certifications:

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Preferred Qualifications

Experience:

• Relevant research work experience.

Preferred Competencies

• R or Python facility.

• Mathematics or statistics competency.

• Excel facility.

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
 

Non-Exempt

Pay Frequency
 

Biweekly

Scheduled Weekly Hours
 

40

Benefits Eligible
 

Yes

Requires Compliance with University Covid-19 Vaccination Requirement
 

Yes

Drug Test Required
 

No

Health Screen Required
 

No

Motor Vehicle Record Inquiry Required
 

No

Posting Statement
 

Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
The University of Chicago is an Affirmative Action/ Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Staff 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.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

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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