University of Chicago
Computational Scientist & Service Delivery Manager
Chicago, IL, USA · Senior · Contract
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odds of building a lasting career here
Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$8,870 more — $93,870 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $93,870 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Biological Scientists, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Biological Scientists, All Other (19-1029) · Chicago-Naperville-Elgin, IL-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Uses in-depth knowledge of software development to facilitate solutions to data acquisition, ingestion and data integration from heterogeneous sources.
- The person in this position will serve as a multi-disciplinary technical expert in supporting and advising faculty on using AI, High-Performance Computing (HPC), and related technologies for their research.
- The successful candidate will combine technical expertise, faculty engagement, and responsibility for delivering high-quality research computing services.
Responsibilities
- Partner with faculty and research groups, by serving as a domain expert, to identify, develop, and implement computational solutions that advance their research.
- Troubleshoot, compile, debug, profile, optimize, and port scientific applications and computational workflows on AI and HPC systems.
- Develop, install, test, and maintain scientific and community software in support of research projects.
- Create and maintain technical documentation, user guides, and knowledge-base to ensure consistent and high-quality user support.
- May manage staff, including help desk and research data scientists. Set goals and priorities for the team. Responsible for performance management and staff development.
- Hire, train, mentor, and manage a team of talented UChicago student consultant.
- Work closely with faculty to identify, proactively propose and execute solutions to support or advance their research.
- Develop documentation best practices and tools that can be used by others.
- Create and deliver tutorials, hands-on workshops, and other training materials.
Requirements
- include a college or university degree in related field.
- Experience mentoring or managing students.
- Experience with software design and development methodologies and best practices.
Skills
- Proficiency in one or more programming languages such as C++, C, etc.
- Proficiency in a scripting language such as Python.
- Experience with Linux/Unix environments.
- Experience with compiler optimization techniques, performance analysis tools, and HPC libraries.
- Familiarity with job schedulers such as Slurm.
- Experience with version-control systems such as Git.
- Experience deploying and optimizing workloads on GPU-accelerated systems.
- Experience with AI/ML frameworks such as PyTorch or TensorFlow.
- Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, xarray, and scikit-learn.
- Ability to understand and translate researchers' scientific goals into computational requirements.
- Ability to work well with faculty and researchers.
- Ability to identify and gain expertise in appropriate new technologies and/or software tools.
Compensation
- $85,000.00 - $105,000.00 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.
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Benefits
- 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.
- Benefits Eligible
Company info
- Working as part of an existing collaborative team at the RCC, the successful candidate will have ample opportunity to advance computational research across the University and contribute to enabling science at UChicago.
Equal opportunity
- 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.
- Job seekers in need of a reasonable accommodation to complete the
This listing is sourced directly from University of Chicago's careers page and normalized into a canonical job model.