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How much do stowers institute jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for stowers institute in the United States is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist at the Stowers Institute, and why are they important?

To thrive as a Research Scientist at the Stowers Institute, you need an advanced degree in a biological science, strong experimental design skills, and a solid foundation in data analysis. Familiarity with laboratory technologies such as microscopy, genomics platforms, and bioinformatics tools, as well as experience with scientific publishing, are typically required. Critical thinking, collaboration, and clear communication are essential soft skills for driving innovative research and working effectively within multidisciplinary teams. These abilities are crucial for advancing scientific discovery and contributing to high-impact research in a collaborative environment.

What collaborative opportunities can research associates expect when working at the Stowers Institute?

Research associates at the Stowers Institute often work closely with multidisciplinary teams, including principal investigators, postdoctoral fellows, and other technical staff. Collaboration is a core part of the Institute’s culture, with frequent opportunities to participate in joint projects, contribute to group meetings, and share expertise across different research areas. This collaborative environment not only fosters scientific discovery but also helps research associates build a strong professional network and develop diverse technical skills.

What is the Stowers Institute and what do people do there?

The Stowers Institute for Medical Research is a biomedical research organization based in Kansas City, Missouri. Scientists and staff at the Institute focus on basic research in genetics, cell biology, and related fields to understand the fundamental processes of life. Researchers at Stowers use advanced technologies and collaborative approaches to study topics such as cancer, developmental biology, and regenerative medicine. The goal is to generate discoveries that can eventually lead to new therapies and a deeper understanding of diseases.

What is the difference between Stowers Institute vs Research Scientist?

AspectStowers InstituteResearch Scientist
Required CredentialsPhD in biology, biochemistry, or related fieldsPhD or equivalent in similar fields
Work EnvironmentResearch laboratories, academic settingResearch labs, academic or industry settings
Employer & Industry UsageResearch institute focused on biomedical researchResearch roles across academia, industry, and institutes
Common Search & ComparisonYesYes

The Stowers Institute is a specific research organization focusing on biomedical research, often hiring research scientists with PhDs in related fields. Research scientists work in similar environments, conducting experiments and advancing scientific knowledge. While the Stowers Institute is a unique employer, research scientists are common roles across many research institutions and industries.

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Infographic showing various Stowers Institute job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 81% Part Time, and 5% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $39,581 per year, or $19 per hour.
Computational Scientist

Computational Scientist

Stowers Institute

Kansas City, MO • On-site

Full-time

Posted 7 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