Data Scientist (uchicago)

uchicago    Chicago, United States    2025-01-18

Job posting number: #179108 (Ref:JR28755)

Job Description

Department

BSD MED - Hematology and Oncology - Garassino Research Staff


About the Department

The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies.


Job Summary

Dr. Garassino’s group is seeking a Data Scientist that will lead data science research efforts within the thoracic cancer program in the Section of Hematology/Oncology in the Department of Medicine. Working closely with senior team members, this hire will contribute to data analysis assignments essential for supporting research projects. The data scientist is expected to focus their efforts on projects that include – but are not limited to – digital pathology data.

This position will collaborate with study team members across the Center to accurately address data needs as they arise and will actively familiarize themselves with the history and complexity of longitudinal datasets across multiple new and established research projects.

An ideal candidate will have a working knowledge of research methodologies, data analysis, experience with coding languages such as R and Python, Deep Learning libraries such as torch and tensoflow, and a demonstrated commitment to communication and collaboration.

Responsibilities

  • 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.

  • Keep lab's knowledge-based trainings up to date.

  • Supervise trainees.

  • 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.

  • Oversees code management and organization within the lab.

  • Conducts literature reviews and helps write reports and manuscripts. Ensures project compliance with different policies, procedures, directives, and mandates.

  • Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process.

    View Orignal JOB on: italents.net
  • 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:

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Preferred Qualifications


Education:

  • Advanced degree in a related field.

Experience:

  • Experience training team members with software tools.

  • Strong background in Python; data analysis tools (pandas, xarray), climate data storage formats (e.g. NetCDF, Zarr).

  • Familiarity with version control (git).

  • Experience with geospatial and temporal data visualization.

  • Strong background in distributed computing tools (dask).

  • High-performance computing clusters.

  • Linux command line/bash scripting.

  • Familiarity with tools used in HPC (tmux, slurm).

Preferred Competencies

  • Strong communication skills.

  • Strong multi-disciplinary collaboration skills.

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


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

$64,000.00 - $92,000.00

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
 

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. 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.

 

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.



Employer Info

Job posting number:#179108 (Ref:JR28755)
Application Deadline:2025-02-17
Employer Location:uchicago
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