Research Data Scientist

Department

Booth Faculty Research - Research Professional

About the Department

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898 the school has produced ideas and leaders that shape the world of business. Their rigorous discipline-based approach to business education transforms students into confident effective respected business leaders prepared to face the toughest challenges.

Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago one in London and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.

Chicago Booth is proud to claim:
-an unmatched faculty.
-degree and open enrollment programs offered on three continents.
-a global body of nearly 56000 accomplished alumni.
-strong and growing corporate relationships that provide a wealth of lifelong career opportunities.

As part of the world-renowned University of Chicago Chicago Booth shares the Universitys core values that shape the distinctive intellectual culture. At Booth they constantly question and test ideas and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business please visit: SummaryThe Research Data Scientist will assist faculty with the use of technology and cutting-edge data science in research. As an integral member of the CLARITY team (Clinician-Led AI Resources Individualized To You) the Research Data Scientist will build and optimize the LLM-based text processing and multimodal video generation pipeline conducting model evaluation and testing and supporting deployment of a secure patient-facing interface. The Research Data Scientist will collaborate closely with behavioral scientists clinicians and computer science faculty to translate research objectives into reliable scalable technical solutions.

This position is expected to last one year with the possibility of a second.

Responsibilities

• Implements and maintains components of the LLM-based text-to-video pipeline.
• Develops and tests prompting fine-tuning and structured extraction workflows.
• Supports integration of text processing systems with video generation tools.
• Develops guardrails and evaluation metrics for factual consistency uncertainty communication and clinical reliability.
• Contributes to development of the secure patient-facing interface.
• Conducts data analysis for experimental studies and clinical trial evaluation.
• Interfaces directly with collaborators.
• Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction manages lab and/or research-related duties and tasks. Helps develop design and conduct research projects according to plan.
• Supports data collection and analytical needs of research projects. Conducts literature reviews and helps write reports and manuscripts. Ensures project compliance with different policies procedures directives and mandates.
• 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:

• Bachelors degree in computer science data science artificial intelligence machine learning or a closely related field.
• Masters degree in computer science data science artificial intelligence machine learning or a closely related field.

Experience:

• Background in healthcare biomedical or other high-stakes deployment environments.

Technical Skills or Knowledge:

• Demonstrated experience working with large language models (LLMs) and/or generative AI systems.
• Strong programming skills in Python and experience with ML frameworks and APIs.
• Implementing and evaluating applied machine learning systems in real-world or research settings.
• Proficient in prompt engineering or fine-tuning foundation models.
• Familiar with multimodal generation tools such as text-to-speech or text-to-video systems.
• Building or contributing to web-based interfaces or deployed systems.
• Working with structured and unstructured text data.

Preferred Competencies

• Outstanding verbal written and presentation skills as well as organizational skills.
• Work independently with little supervision; possess a self-motivated disposition; identify opportunities for improvement and recommend effective changes all while achieving key objectives resulting in desired outcomes.
• Excellent strategic planning critical thinking analytical and persuasion skills.
• Handle multiple detailed tasks/projects simultaneously and meet strict deadlines with frequent interruptions.
• Demonstrated ability to work effectively and diplomatically with colleagues as well as with students faculty and corporate contacts in a multitude of communication methods such as in person email and phone.
• Professional demeanor including tact discretion and a customer service-oriented approach.

Working Conditions

• This position is currently expected to work a minimum three days per week in the office.

Application Documents

• Resume/CV (required)
• Brief Cover Letter describing technical experience and interest in the project (required)
• Two Professional or Academic Reference Letters sent to: (required)
• Links to relevant code repositories technical reports or deployed projects (preferred)

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

37.5

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

FLSA Status

Exempt

Pay Range

$69000.00 - $72000.00

The included pay rate or range represents the Universitys 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 Universitys Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 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.

The University of Chicagos 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:.Paper copies of the Report are available upon request from the University of Chicago Police Department 850 E. 61st Street Chicago IL 60637.