Staff Scientist

Department

BSD PSY - Lyons Lab

About the Department

To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.

Job Summary

The Lyons Lab is seeking a Staff Scientist to contribute to research on the mental health services driving impactful research, shaping public policy, and advancing the systemic transformation of services for children. This role requires advanced expertise in data science, and mental health services, and will be central to the lab’s mission of advancing fundamental understanding of applications.

Responsibilities

• Designs, implements, and tests experimental protocols for research.
• Interprets results and integrates findings with CANS measures, and collaborates closely with scientists and researchers across disciplines.
• Manages, plans, and evaluates regulatory elements of multiple or complex research projects for a designated department, program, or central unit.
• Ensures the identification, collection, and analysis of data that serve as a basis for outcome measurement of assigned research studies.
• Monitors and follows a large caseload of study participants from study screening through end-of-study evaluations, including all necessary source documentation and data collection/entry.
• Establishes standard operating procedures for continuous review and development of quality improvement plans for our unit. Advances research objectives through participation in professional committees and presentations. Ensures timely reporting of research data, following study specific guidelines.
• 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 7+ years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• Doctoral degree in statistics, biostatics, psychology, or a related field.

Experience:

• Developing and implementing empirical and computational protocols for  research.
• Background in the analysis of data and large-scale behavioral datasets.
• Assisting in the training of junior researchers, a strong publication record, and a demonstrated commitment to excellence in research.
• Supervisory experience.

​Technical Skills or Knowledge:

• Knowledge in computational methods and statistical tools for the analysis of large-scale neural data.
• Knowledge of research regulatory policies and procedures.

Preferred Competencies

• Analytical skills.
• Problem-solving skills.
• Attention to detail.
• Organizational skills.
• Verbal and written communication skills.
• Work independently and as part of a multidisciplinary team.

Application Documents

• Resume/CV (required)
• Cover Letter (required)

Job Family

Research

Role Impact

People Manager

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

$130,000.00 - $180,000.00

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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