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Computational Scientist Jobs in Indiana (NOW HIRING)

Amgen

$85K - $116K/yr

Collaborate with computational and experimental scientists toestablishthese tools as a foundation ofthe discovery pipeline. * Work towards individual ownership and a leadership role ...

Indiana University

Research Scientist

Bloomington, IN · On-site

$70K - $75K/yr

Strong applicants will have quantitative and computational training as well as experience in behavioral science, ideally in development, language, or visual cognition. The successful applicant will ...

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All JobsComputational Scientist JobsComputational Scientist Jobs in Indiana

Computational Scientist information

See Indiana salary details

$48.1K

$106K

$130.8K

How much do computational scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for computational scientist in Indiana is $105,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $130,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Scientist position, and why are they important?

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

What can you do with a computational science degree?

A computational scientist can work in fields such as data analysis, simulation, modeling, and algorithm development across industries like healthcare, finance, and engineering. They often use programming languages, high-performance computing, and statistical tools to solve complex problems. Career options include research roles, software development, and data science positions requiring strong analytical and technical skills.

What is a Computational Scientist job?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What is the average salary of a Computational Biologist?

The average salary of a Computational Biologist typically ranges from $70,000 to $110,000 annually, depending on experience, education, and location. Professionals in this field often work with bioinformatics tools and programming languages like Python or R, and advanced degrees can lead to higher compensation.

What is the difference between a computer scientist and a computational scientist?

A computational scientist applies computer science, mathematics, and domain-specific knowledge to solve complex scientific problems using modeling, simulation, and data analysis. In contrast, a computer scientist primarily focuses on developing algorithms, software, and systems, often working in areas like programming, data structures, and theoretical computing. Both roles require strong programming skills, but computational scientists typically work in research environments and use specialized tools for scientific computing.

What does a computational scientist do?

A computational scientist develops and applies mathematical models, algorithms, and simulations to analyze complex scientific problems. They often use programming languages, high-performance computing, and data analysis tools to interpret large datasets and support research across various scientific disciplines.

What does a typical day look like for a Computational Scientist?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

What are the most commonly searched types of Computational Scientist jobs in Indiana? The most popular types of Computational Scientist jobs in Indiana are:
What are popular job titles related to Computational Scientist jobs in Indiana? For Computational Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Computational Scientist jobs in Indiana look for? The top searched job categories for Computational Scientist jobs in Indiana are:
What cities in Indiana are hiring for Computational Scientist jobs? Cities in Indiana with the most Computational Scientist job openings:
What are popular job titles related to Computational Scientist jobs in IN? For Computational Scientist jobs in IN, the most frequently searched job titles are:
Computational Scientist jobs near you
Computational Chemistry/Toxicology Scientist

Computational Chemistry/Toxicology Scientist

Vish Consulting Services Inc

Zionsville, IN • On-site

Contractor

Re-posted 24 days ago

Job description

VCS is looking for a computational chemistry/Toxicology Scientist for one of our client

Job Title - Computational Chemistry/Toxicology Scientist

Job Location - Indianapolis, IN 46077

Contract- 12+ Months with possible extension

Shift- Day M-F 40 hrs./week

Pay- 57/Hr.

Description:
The client has an exciting and challenging opportunity in the Predictive Safety Center within Regulatory Science for a Computational Scientist Contractor with expertise in c/Bioinformatics. The individual will partner with a multidisciplinary team to design, develop, and implement machine learning models to predict safety profiles of chemicals to support the discovery, development and registration of novel crop protection products. This position is located in Indianapolis, IN, while strong candidates working remotely will be considered.
Responsibilities:

  • Develop and apply chemistry structure-based predictive models for assessing safety profiles of early-stage discovery molecules
  • Assess potential mechanisms of toxicity by assessing ligand-protein binding affinity using protein structure alignment, binding pocket evaluation, and molecular docking
  • Work collaboratively with internal and external cross-functional multidisciplinary teams, collaborators, and consultants to implement in silico models to meet business needs
  • Serve as a subject matter expert on in silico modelling for the team and other partners in R&D sub-functions
  • Present the development and application of cheminformatics/bioinformatics approaches and novel ML/DL models internally and externally including scientific conferences
  • Keep abreast of the latest scientific development in the areas of machine learning, cheminformatics, bioinformatics, and related fields and identify technologies to be applied internally
  • Analyze complex datasets using machine learning approaches and interpret results to improve data-driven decision-making processes

Qualifications:

  • Ph.D. degree in Cheminformatics, Computational Chemistry, Computational Biology, Bioinformatics, Toxicology, or a related field
  • 3+ years of experience in developing machine learning models and applying cheminformatics/bioinformatics and AI for structure-based drug design, toxicology assessment, mechanism prediction
  • Strong technical background in machine learning, deep learning, and statistical modeling with prior experience in applying these techniques to process, analyze and draw insights from complex datasets involving chemical compound structures and toxicity endpoints
  • Demonstrated programming proficiency in Python and experience in utilizing machine learning libraries
  • Demonstrated in-depth knowledge in toxicology, chemistry, chemical structure, QSAR, protein structure
  • Knowledge in omics analysis and systems biology is a plus
  • Demonstrated teamwork and project leadership skills to manage multiple projects on different timelines for stakeholders across the business
  • Excellent communication and presentation skills to different stakeholder audiences

Thank You!

Bhanendra S Singh
Vish Consulting Services(VCS)
Bhanendra @vishusa.com