Department

Globus Labs

About the Department

Globus (www.globus.org) is a sustainable, non-profit unit within The University of Chicago delivering solutions to the research community worldwide. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management challenges. We have offices located at the NBC Tower in the heart of downtown Chicago and remote employees who work-from-home. Globus, together with Globus Labs, a research group within the University of Chicago, and part of the Data Science and Learning Division at Argonne National Labs, develop and deploy cutting edge technologies to solve new challenges facing the scientific community and enable break-through scientific discoveries.

Job Information

Job Summary:

Globus Labs is seeking a part-time Python developer to contribute to ongoing research projects at the intersection of distributed systems, data-intensive science, and automation. The successful candidate will join a dynamic team of researchers and engineers working to advance the state of the art in scientific computing through innovative workflow, scheduling, and data management technologies.

The developer will participate in the design and implementation of systems that enable large-scale, distributed research. Projects may involve developing novel scheduling algorithms for federated and serverless computing, extending Python-based workflow and Function-as-a-Service (FaaS) frameworks, or building services that enhance the interoperability and performance of Globus tools and platforms. A key aspect of the role will be contributing to the infrastructure that underpins these research efforts—integrating Globus services for data transfer, sharing, and authentication; creating interfaces for monitoring and managing distributed workflows; and designing mechanisms for indexing, searching, and analyzing data across institutions and clouds. The developer will have the opportunity to help prototype new systems that push the boundaries of scalability and automation in data- and compute-intensive research environments.

Responsibilities:

• Assist in the design of systems using Python programming.

• Create interfaces for workflows.

• Assist in designing data indexing mechanisms.

• Research and analyze data across other institutions for analytics and input.

• Help prototype new systems and participate in meetings.

• Other duties as assigned.

Additional Responsibilities

Education, Experience, or Certifications:

Education:

• Bachelor of Science in Computer Science or related field required.

Experience:

• Experience in Python programming required.

• Experience in creating interfaces for workflows preferred.

Technical Knowledge or Skills:

• Ability to keep records, assemble and organize data and prepare and submit reports in acceptable programming format.

• Knowledge of cloud systems to conduct online and data research.

Working Conditions and Physical Requirements:

• Ability to work independently and with a team.

• Ability to participate in occasional in-person meetings.

Required Documents:

• Resume

Job Family

Temporary Staff

Scheduled Weekly Hours

20

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Frequency

Hourly

Pay Rate Type

Hourly

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FLSA Status

Non-Exempt

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Pay Range

$20.00 - $25.00

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

This position is not eligible for benefits.

Posting Statement

The University of Chicago is an equal 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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