Data Science Project Manager

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
 

The Data Science Project Manager will participate in computational scientific research projects, including both software manipulation and research logistics in support of multi-modal machine learning based research. They will ensure compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates, including for international data sources. Analyzes possible solutions using standard procedures. Writes articles, reports and manuscripts. Assists in drafting presentations on research findings and progress reports.

Responsibilities

• Work closely with members of both University of Chicago teams and external partners to apply quantitative methods to cancer data in order to improve biological understanding and treatment outcomes and identify key lessons and recommendations.  

• Organize data required to perform computational experiments, including personal health data, digital imaging data, genomics data, and treatment data. This data may be found in unique repositories, the electronic health record, or other repositories.

• Organize and maintain standard operating procedure documents for lab operations, including using the software platform Notion.

• Perform data analysis in collaboration with laboratory personnel. 

• Refine and revise broad research questions into manageable research hypotheses and aims.

• Conduct reviews of the published and unpublished literature. 

• Assist as co-author on scientific journal articles, including the development and maintenance of literature databases and utilizing Endnote software.

• Assist in co-authoring progress reports to update funding providers including government grants, foundations, industrial sponsors, and benefactors.

• Actively participates in team meetings.

• Work independently and within teams on both ongoing and nonrecurring projects, ensuring that the project progresses according to specified goals and time parameters. 

• Assist administrative support staff, including the development and implementation of virtual and in-person conferences as well as tracking and responding to external customer/stakeholder inquiries and requests.

• Interact with internal and external customers in a professional and courteous manner.

• Communicate effectively in both a written and oral format with a broad range of individuals within and external to the University of Chicago.

• Work independently and within teams on special nonrecurring and ongoing projects, ensuring that the project progresses according to specified time parameters associated with the various stages of the project.

• Complete faxing, filing, deliveries, copying, data entry, and other duties as assigned.

• Provide coverage for administrative support staff, when needed.

• 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.

• 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 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Advanced degree in statistics, mathematics, computer science, data science, health care informatics or a related field. 
   

Preferred Competencies

• Knowledge of regulatory policies and procedures.

• Analytical skills.

• Problem-solving skills.

• Attention to detail.

• Organizational skills.

• Verbal and written communication skills.

• Work independently and as part of a team.

• Train others.

• Version control experience.

Application Documents

• Resume/CV (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

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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