Research Analyst

Research Analyst

We are seeking a motivated Research Analyst to join our neurobiology lab focused on high-resolution connectomics and advanced microscopy. Our research utilizes high-throughput serial electron microscopy and novel structural imaging techniques to map complex neural circuits and investigate brain ultrastructure. The successful candidate will support day-to-day operations, execute complex tissue preparation protocols, and assist with large-scale data acquisition on high-value imaging instrumentation.

Responsibilities:

• Utilize different microscopy techniques including confocal light microscopy and scanning electron microscopy of mammalian nervous tissue.
• Participate in regular 1 on 1 meetings, group presentations as well as opportunities to present work at national scientific conference.
• Provides technical and administrative support for a research project.
• Collects and enters data. Assists in analyzing data. Assists with preparation of reports, manuscripts and other documents.
• Assists with the installation, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
• Maintains technical and administrative support for a research project.
• Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
• Installs, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
• 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 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications:

Education:

• BS in related field.

Experience:

• Work experience in related field.

Preferred Competencies:

• Essential technical skills include animal perfusions, immunofluorescence labeling, cryosectioning, and sample preparation for electron microscopy.
• Proficiency in R and other related software for image analysis.
• Writing and presentation proficiency also desired.

Application Documents:

• Resume (required)
• Cover letter (preferred)

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

Pay Rate Type: Salary

​FLSA Status: Exempt

​Pay Range: $50,000.00 - $70,000.00

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 View phone number on click.appcast.io 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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