Research Scientist

Department

BSD MED - Hematology and Oncology - Pearson 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

The Pearson Lab is seeking a Research Scientist to work in the Center for Computational Medicine and Clinical Artificial Intelligence in the Department of Medicine, Biological Sciences Division at The University of Chicago.

Responsibilities

• Manage the program’s projects.

• Develop frameworks for housing multi-modal clinical data.

• Develop and code deep learning, vision transformer, and emerging methodologies for multi-modal data analysis.

• Develop an independent research program with self-guided.

• 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, digital pathology, radiology, and clinical data analysis using state of the art artificial intelligence methods.

• 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. Partners with other campus teams to assist faculty with data science related needs.

• Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.

• Develops laboratory protocols and training on new techniques. Manage, analyze and make recommendations on complex data sets for research.

• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a PhD in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Experience:

• Research experience in a related job discipline as evidenced by high-quality publications.
   

Preferred Competencies

• Deep knowledge of artificial intelligence and deep learning methods.

• Expert coding in Pythion and TensorFlow.

• AI/ML Development capabilities.

• Strong background in statistical analysis and computational techniques.

• Strong communication skills.
   

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

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$80,000.00 - $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

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 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.  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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