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High Performance Computing Hpc Jobs in Indiana (NOW HIRING)

Varsity Tutors

C++ Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Bloomington, IN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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All JobsHigh Performance Computing Hpc JobsHigh Performance Computing Hpc Jobs in Indiana

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 Aug 23, 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:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Indiana as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,943 per year, or $31.2 per hour.

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 9 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Medical and Molecular Genetics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Medical & Molecular Genetics
Campus
IU School of Medicine Indianapolis
Position Summary
Postdoctoral Fellow in Neuropsychiatric Genetics
The Lai Laboratory in the Department of Medical and Molecular Genetics at the Indiana University School of Medicine is seeking highly motivated postdoctoral fellows to join our growing research team.
About the Lab
Our mission is to uncover the genetic and molecular basis of complex diseases and translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment.
Our research focuses primarily on substance use disorders and neurodegenerative diseases, where we combine genomic discovery with functional validation and clinical investigation to develop clinically actionable polygenic scores, identify biomarkers and therapeutic targets, and advance genetically informed drug repurposing.
Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with investigators across Indiana University and leading national and international research institutions. We are committed to helping postdoctoral fellows establish independent research programs through strong mentorship, high-impact publications, grant writing, and career development.
We especially welcome applicants with backgrounds in psychiatry, neuroscience, or neurobiology who are eager to develop expertise in statistical genetics and computational genomics. Our lab provides a collaborative environment with strong mentorship in quantitative methods, enabling fellows to integrate experimental and computational approaches to study complex brain disorders.
Responsibilities
The successful candidate will have the opportunity to:
  • Conduct innovative genetic and translational research in substance use disorders or neurodegenerative diseases.
  • Analyze large-scale genomic, single-cell, multi-omics, and biobank datasets.
  • Design research studies, analyze and interpret data, and prepare manuscripts for publication.
  • Present research at national and international conferences and organize scientific symposia.
  • Contribute to fellowship and NIH grant applications.
  • Lead independent research projects while collaborating with multidisciplinary teams.
  • Establish new scientific collaborations within and outside Indiana University.

Training and Career Development
Our goal is to prepare postdoctoral fellows for successful independent research careers. Fellows receive close mentorship and support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research.
Training emphasizes:
• Developing an independent research program
• Publishing high-impact manuscripts
• Scientific communication and leadership
• Fellowship and NIH grant writing
• Building a long-term academic career
This position is particularly well suited for candidates pursuing independent academic careers in psychiatric genetics, neurogenetics, or precision medicine.
IU School of Medicine 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
Required
  • PH.D. (or equivalent) in Psychiatry, Neuroscience, Neurobiology, Genetics, or related fields.
  • Strong interests in manuscript preparation and grant development.
  • Experience with statistical genetics, bioinformatics, genomics, or computational biology.
  • Experience using high-performance computing and/or cloud computing.
  • Ability to work independently as well as collaboratively in an interdisciplinary research environment.
  • Strong written and oral communication skills.

Preferred
  • Genome-wide association studies (GWAS)
  • Statistical genetics and polygenic scores
  • Single-cell RNA-seq, proteomics, or other multi-omics analyses
  • Artificial intelligence and machine learning
  • Biobank and electronic health record (EHR) analyses
  • Drug repurposing or translational genomics
  • R, Python, Linux or cloud computing platforms

Department Contact for Questions
Applicants should submit:
• Curriculum Vitae
• Brief statement of research interests and career goals
• Contact information for three references
through the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/34012
Applications will be reviewed on a rolling basis until the position is filled.
Dongbing Lai, Ph.D.
Associate Professor
Department of Medical and Medical Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
HS4059
410 W. 10th street, Indianapolis, IN, 46202
Email: dlai@iu.edu
Additional Qualifications
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02486-2026

Apply