Homeoffice Scientific Software Engineer bei Uchicago

Department

BSD PED - Pediatric Genetics and Genomics - Hunter Lab

About the Department

The Hunter Lab at the University of Chicago, Department of Pediatrics, Section of Biomedical Informatics is dedicated to the development and application of advanced computational techniques to biomedicine, particularly the application of machine learning and statistical inference techniques to high-throughput molecular assays. Other areas of focus include automated processing of biomedical texts, anatomically realistic models of neural computation, and neurobiologically and evolutionarily informed computational models of cognition.

The Section of Biomedical Informatics is committed to creating a patient-centric healthcare and research ecosystem where technology integrates with compassionate, family-centered care and rigorous scientific pursuit. By leveraging state-of-the-art informatics tools and methodologies, the Section aims to unlock new insights into pediatric diseases, accelerate research breakthroughs, and enhance clinical decision-making processes.

Job Summary

The Hunter Lab, directed by Professor Lawrence Hunter, is recruiting a Scientific Software Engineer to support ongoing research programming. This engineer will be expected to work independently, interact directly with researchers as needed, and work on multiple projects simultaneously to meet deadlines. Projects will be varied and tasks will include, but not be limited to: de novo development of web applications and web services, developing tools for searching and visualizing NLP results, data migration and validation, reporting from various information systems, creating and modifying database schemas, evaluating and implementing open source software, and giving demonstrations of current projects. In addition, the Scientific Software Engineer solves complex problems in administration, maintenance, integration, and troubleshooting of code and application ecosystem currently in production.

This at-will position is partially funded by extramural funds (e.g., grant, gift, endowment), which are renewed under provisions set by the grantor of the funds. Employment will be contingent upon the continued receipt of these funds and satisfactory job performance.

Responsibilities

Minimum Qualifications

Education:

Minimum requirements include a college or university degree 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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Job Family

Information Technology

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

Yes

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

$100,000.00 - $140,000.00

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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