Department
Globus Labs - Materials
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:
As an intern with the Globus Labs team, the focus of this position will be to assist in the development and deployment of new software services to help researchers publish and share their data and to solve problems in domains ranging from materials science, chemistry, catalysis, x-ray science, and more. We’re looking for highly skilled students and young people skilled in the techniques of data preprocessing, machine learning, and also building and supporting Python services and systems. The position will be remote, primarily appointed at the University of Chicago with collaborations at Argonne National Laboratory.
Responsibilities:
Assist in the development and deployment of new software.
Assist researchers publish and share data.
Process data through Python services and systems.
Use basic computing coding to complement existing projects.
Learn machine learning code.
Review existing software development programs.
Take notes, participate in meetings and discussion on current projects.
Create summaries and reports on project meetings.
Contribute on active projects with basic analysis and reviews to summarize for project supervisor.
Other duties as assigned.
Additional Responsibilities
Education, Experience, or Certifications:
Education:
Experience:
Basic computer software programming experience required.
Exposure to programming languages such as Python, HTML, CSS, JavaScript required.
Exposure to ML models preferred.
Relevant programming experience developing, implementing, debugging, and maintaining applications or data services written in Python preferred.
Front-end or Back-end design familiarity preferred.
Machine learning frameworks such as Tensorflow, Keras, or Pytorch preferred.
Developing user-facing software preferred.
Experience developing machine learning models and data processing pipelines preferred.
Experience with the latest and greatest web standards, including HTML5 and CSS3 preferred.
Technical Knowledge or Skills:
Ability to assemble and organize data and prepare reports.
Working knowledge of software development programs.
Demonstrated capacity to work independently in an organized, detailed manner.
Strong computer skills including the ability to effectively use software applications such as Microsoft Word and Excel.
Ability to follow direction and guidance.
Working Conditions and Physical Requirements:
Requires the ability to work independently, under supervisor direction, for periods of up to eight (8) hours.
This role will require occasional in-person and/or zoom meetings.
Pay Range:
Required Documents:
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Temporary Staff
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Frequency
Hourly
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$17.00 - $20.00
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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