Data Scientist

About the role

Department

Bsd Med

Hematology and Oncology - Howard Research Staff

Job Summary

The Data Scientist will lead data science research efforts within breast cancer program in the Section of Hematology/Oncology in the Department of Medicine.

Responsibilities

• Manage the program's projects.
• Develop frameworks for housing multi-modal clinical data - including genomic, pathology, and radiographic imaging data.
• 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.
• Draft grant proposals.
• Develop training material.
• Keep lab's knowledge-based trainings up to date.
• Supervise trainees.
• Perform reproducible genomic data analysis.
• Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.
• Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference.
• Provides expertise for high level or complex data-related requests and engages other IT resources as 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.

Work Experience

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications: Preferred Qualifications

Education

• Advanced degree in computer science.

Experience

• Experience in python including torch and scikit-learn libraries strongly preferred.
• Experience in working with image data or unstructured text data with large language models.

Preferred Competencies

• Proficiency in Linux/Ubuntu OS including basic file and user management, ssh.
• Familiarity with tmux, SLURM.
• 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)

Additional information

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.

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
• 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

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.

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

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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