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High Performance Computing Hpc Jobs in Indiana (NOW HIRING)

Experience with data center cooling or high-performance computing thermal management. * Understanding of cable management best practices for secure environments. Clearance Requirements: * Must have a ...

Experience with data center cooling or high-performance computing thermal management. * Understanding of cable management best practices for secure environments. Clearance Requirements: * Must have a ...

Knowledge and experience with high performance computing systems preferred. * Ability to operate office equipment, including copiers, fax machines, and phones * Strong ability to apply concepts such ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN Β· On-site

$99K - $137K/yr

... computing or on-prem technologies * Design and lead development on scalable, high-performance data ... Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

Identify root causes related to component failures, degraded signals, hardware performance, or ... Familiarity with HPC computing, MIL‑STD communication protocols, V&V and Systems Engineering ...

What does it take to work for HPC-Industrial? * High School diploma or equivalent; * Valid TWIC ... We are committed to safety, people, growth, service, and performance. We provide the safest, most ...

What does it take to work for HPC-Industrial? * High School diploma or equivalent; * Valid TWIC ... We are committed to safety, people, growth, service, and performance. We provide the safest, most ...

What does it take to work for HPC-Industrial? * High School diploma or equivalent; * Valid TWIC ... We are committed to safety, people, growth, service, and performance. We provide the safest, most ...

What does it take to work for HPC-Industrial? * High School diploma or equivalent; * Valid TWIC ... We are committed to safety, people, growth, service, and performance. We provide the safest, most ...

Familiarity with HPC computing, MIL-STD communication protocols, V&V and Systems Engineering ... includes secure high-end solutions in mission IT, enterprise IT, engineering services, and ...

Identify root causes related to component failures, degraded signals, hardware performance, or ... Familiarity with HPC computing, MIL-STD communication protocols, V&V and Systems Engineering ...

Showing results 41-60

High Performance Computing Hpc information

See Indiana salary details

$30.9K

$64.9K

$106.6K

How much do high performance computing hpc jobs pay per year?

As of Sep 13, 2026, the average yearly pay for high performance computing hpc in Indiana is $64,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are popular job titles related to High Performance Computing Hpc jobs in Indiana?

For High Performance Computing Hpc jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Hpc jobs in Indiana look for?

The top searched job categories for High Performance Computing Hpc jobs in Indiana are:

Infographic showing various High Performance Computing Hpc job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,943 per year, or $31.2 per hour.

Postdoctoral Fellow in Pediatrics

Bloomington, IN β€’ On-site

$45K - $61K/yr

Full-time

Re-posted 23 days ago


Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Pediatrics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Pediatrics
Campus
IU School of Medicine Indianapolis
Position Summary
The Schwaderer Lab is dedicated to uncovering the biological mechanisms underlying kidney diseases, particularly those with immune-mediated components such as kidney infections, kidney stones, and glomerular disorders. Our research integrates cutting-edge approaches to understand how immune responses contribute to kidney injury and disease progression.
In addition, we focus on biomarker discovery to identify children at risk for developing kidney disease and to guide personalized treatment strategies. By leveraging advanced technologies in genomics, proteomics, and metabolomics, our goal is to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health.
Bioinformatics and Biomarker Analysis in Kidney Disease The Nephrology and Urology Research Group at Indiana University School of Medicine seeks a highly motivated individual to join our team in advancing the understanding of kidney disease through cutting-edge bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics, transcriptomics), targeted biomarker arrays, and advanced computational approaches to:
Characterize biomarker profiles across kidney tissue, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures with tissue architecture. Develop predictive models for disease diagnosis, prognosis, and therapeutic targeting.
Experimental and Analytical Approaches
Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis.
The Herman B Wells Center for Pediatric Research conducts basic science and translational research within the Department of Pediatrics at Indiana University School of Medicine. The Wells Center houses more than 300 faculty investigators, staff, and trainees seeking answers to the most pressing questions related to childhood illness. With the collaboration between scientists and physicians, the center aims to increase knowledge of causes and mechanisms of serious pediatric diseases. Our goal is to develop innovative approaches to the diagnosis and treatment of sick children in Indiana and beyond.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Basic Qualifications
PhD in bioinformatics, molecular biology, nephrology, urology, or a related field
Department Contact for Questions
Andrew Schwaderer, MD
schwadea@iu.edu
Additional Qualifications
Preferred Qualifications
Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications, excellent communication skills, and collaborative mindset will be prioritized.
Collaborative Environment The successful candidate will join a multidisciplinary team with expertise in nephrology, urology, molecular biology, and computational science. Access to patient samples, state-of-the-art imaging facilities, and high-performance computing resources will support translational research aimed at improving kidney health.
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02341-2026