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Computational Scientist Jobs (NOW HIRING)

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

What role you will play in our team We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data ...

ExxonMobil

Computational Scientist

Spring, TX

What role you will play in our team We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data ...

GDIT

HPC Computational Scientist

Dayton, OH · Hybrid

$96K - $130K/yr

As a HPC Computational Scientist supporting High Performance Computing Modernization Program (HPCMP) User Productivity Enhancement and Training (PET) in Dayton, OH, you will help ensure today is safe ...

UAB

COMPUTATIONAL SCIENTIST ASSOCIATE

Tampa, FL · On-site

COMPUTATIONAL SCIENTIST ASSOCIATE University of Alabama at Birmingham The department of Radiation Oncology seeks a Computational Scientist Associate to support the development of computational tools ...

GDIT

HPC Computational Scientist

Center, MS · Hybrid

$76K - $103K/yr

As a HPC Computational Scientist supporting High Performance Computing Modernization Program (HPCMP) User Productivity Enhancement and Training (PET) in Stennis, MS you will help ensure today is safe ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

Bolt Graphics

Computational Scientist - FDTD

Sunnyvale, CA · On-site

$150K - $220K/yr

About the role: We're looking for a highly skilled Computational Scientist with deep expertise in computational electromagnetics, numerical methods, scientific computing, and mathematical modeling.

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How much do computational scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 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.

How much do computational scientists make?

Computational scientists in the US typically earn between $70,000 and $120,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, data analysis, or modeling can earn higher salaries, especially in research, technology, or healthcare sectors.

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 computational science salary?

The salary for a computational scientist typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Advanced skills in programming, data analysis, and domain-specific knowledge can influence compensation levels.

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 does a computational scientist do?

A computational scientist develops and applies mathematical models, algorithms, and simulations to analyze complex scientific problems. They often work with high-performance computing tools and programming languages like Python or C++ to interpret data and support research across fields such as physics, biology, or engineering.

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.

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What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
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Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computational Scientist

Computational Scientist

Stowers Institute

Kansas City, MO • On-site

Full-time

Posted 9 days ago

Job description

The Stowers Institute for Medical Research seeks an accomplished computational scientist to serve as Lead of Computational Mass Spectrometry (MS) and Innovation, within our Systems Mass Spectrometry (SMS) Technology Center. The leadership role sits at the intersection of innovative technology, scientific collaboration, and the Institute's mission to advance our understanding of life's fundamental processes. The successful candidate will help drive a cutting-edge core facility at the heart of a vibrant, multidisciplinary research community, and is expected to bring a strong track record in mass spectrometry data analysis, reporting, and methodological innovation, together with exemplary communication, collaboration, and leadership skills.
Overview of the Role
Biological mass spectrometry is entering a transformative era defined by AI-enabled analysis, increasing data scale, and proteoform-level resolution. This role offers a rare opportunity to shape the analytical foundations of next-generation mass spectrometry-based multiomics (proteomics, metabolomics, lipidomics) and to define how advanced computation and AI unlock new biological and biomedical insights.The Lead of Computational MS and Innovation will be empowered to build new capabilities, pursue bold ideas, and influence the direction of biological mass spectrometry research at an institutional level.
Reporting to the Director of Systems Mass Spectrometry, the scientist will lead cutting-edge analysis of data generated by a broad portfolio of modern MS methods, including bottom-up, top-down, native, cross-linking and spatial mass spectrometry, as well as multiomics (metabolomics and lipidomics). The successful candidate will also contribute to project design, and technology development while serving as a scientific and technical resource for the Institute's investigators. The position requires deep technical expertise, collaborative spirit, and outstanding interpersonal skills, with regular interaction across more than 20 independent research programs and a spectrum of technology development facilities. They lead will also help establish standard operating protocols for results reporting and will champion cross-technology collaboration that merges new-generation mass spectrometry methods with biological discovery.
Key Responsibilities
Scientific Leadership and Strategy
  • Define and execute a long-term computational proteomics and AI innovation strategy aligned with institutional research priorities.
  • Serve as the intellectual leader for computational analysis of large-scale proteomics, native and top-down proteomics, PTM analysis, and integrative multi-omics datasets.
  • Identify emerging technologies, analytical paradigms, and AI methodologies that can transform proteomics data interpretation and biological insight.
  • Partner with computational scientists in other technology centers and PI laboratories to integrate mass spectrometry data with genomics, transcriptomics, and microscopy datasets.
  • Drive high-impact publications, presentations, and dissemination of novel computational methods.

AI-Driven Proteomics Innovation
Lead the development and deployment of machine learning and AI approaches for proteomics, including:
  • Deep learning for peptide and proteoform identification and scoring
  • AI-based spectral prediction and library-free analysis
  • Methods for both DIA and DDA acquisition strategies
  • Intelligent deconvolution, feature detection, and noise reduction
  • Automated proteoform annotation and confidence assessment
  • Explore and implement generative AI, foundation models, and representation-learning approaches for proteomics and multi-omics data.
  • Drive innovation in scalable, automated, and reproducible analysis pipelines for high-throughput proteomics.

Data Analysis and Infrastructure
  • Oversee the design, maintenance, and evolution of computational pipelines for proteomics data processing, quality control, statistical analysis, and visualization.
  • Guide the integration of proteomics data with genomics, transcriptomics, and metabolomics datasets.
  • Partner with IT and the Big Data team at Stowers to ensure robust data management, cloud/HPC utilization, and FAIR data practices.

Collaboration and Scientific Partnership
  • Work closely with experimental proteomics staff, and biological investigators to ensure computational approaches are tightly coupled to experimental design.
  • Act as a senior scientific consultant for complex studies requiring custom analysis, novel algorithms, or advanced statistical modeling.
  • Represent computational proteomics expertise in institutional initiatives, external collaborations, and consortium-based projects.

Required Qualifications
  • Masters is minimal, PhD in Chemistry, Biochemistry, Proteomics, Bioanalytical Chemistry, or a related field is strongly preferred (or equivalent experience).
  • Post-doctoral experience and/or 3 to 5 years of work experience post-graduate is strongly preferred.
  • Demonstrated hands-on experience with computational analysis of native and/or top-down mass spectrometry and proteform discovery, cross-linking mass spectrometry, and spatial mass spectrometry.
  • Experience with analysis of metabolomics datasets.
  • Experience with both DIA and DDA methods
  • Proficiency in Python, R, or similar languages, and familiarity with machine-learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Working knowledge of software platforms such as Proteome Discoverer, Skyline, Compound Discoverer, Xcalibur, or similar.
  • Experience working in a shared-resource or collaborative research environment.
  • Demonstrated ability to lead and manage scientific teams and complex projects.
  • Strong communication, organizational, and interpersonal skills.
  • Strong publication record.

Preferred Qualifications
  • Experience deploying AI/ML models in production scientific environments.
  • Familiarity with cloud computing (AWS, GCP, or Azure) and workflow managers (Nextflow, Snakemake).
  • Track record of open-source software contributions in proteomics or multi-omics.

To Apply
Submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.
Requested Documents:
  • Cover Letter
  • Current Resume

Apply