ZipRecruiter

Log In

1

Library Work Study Jobs in Independence, MO (NOW HIRING)

Lockton Companies

Sr Contract Specialist

Kansas City, MO · On-site

$96K/yr

Maintain and enhance contract resources, including templates, playbooks, clause libraries, fallback ... Bachelor's degree in business, legal studies, or a related field. * Contract management ...

previous page

Showing results 41-60

All JobsLibrary Work Study JobsLibrary Work Study Jobs in Independence, MO

Library Work Study information

See Independence, MO salary details

$7

$14

$26

How much do library work study jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for library work study in Independence, MO is $14.35, according to ZipRecruiter salary data. Most workers in this role earn between $10.72 and $16.01 per hour, depending on experience, location, and employer.

What is a library work study?

A Library Work Study position is a part-time job within a library, typically offered to students who qualify for financial aid through the federal work-study program. Students in these roles assist with tasks such as shelving books, checking materials in and out, helping patrons, and maintaining library resources. The position provides valuable work experience, flexible hours to accommodate class schedules, and an opportunity to develop organizational and customer service skills. It also supports the daily operations of the library, ensuring a welcoming environment for all users.

What does a library work study do?

As a Library Work Study student, you'll typically assist with tasks such as shelving books, checking in and out library materials, helping patrons locate resources, and maintaining the organization of library spaces. You may also support library staff with special projects, inventory, or event preparation. These responsibilities are crucial for ensuring that library operations run smoothly and that patrons have a positive experience, while also giving you valuable exposure to library systems and customer service.

What are the key skills and qualifications needed to thrive as a library work study?

To thrive as a Library Work Study, you need strong organizational skills, attention to detail, and basic computer literacy, often supported by enrollment as a student. Familiarity with library catalog systems, office software, and possibly circulation or inventory management tools is typically required. Good communication, reliability, and customer service skills help you assist patrons and collaborate effectively with library staff. These abilities ensure efficient library operations, support a positive user experience, and contribute to a productive learning environment.

What is the difference between Library Work Study vs Library Assistant?

AspectLibrary Work StudyLibrary Assistant
Required CredentialsUsually enrolled students, minimal certificationsHigh school diploma or equivalent, some positions may require certifications
Work EnvironmentOn-campus, flexible hours, academic settingPublic or academic libraries, regular hours, customer service focus
Employer & Industry UsageEducational institutions, governmentPublic libraries, universities, schools
Common Search & ComparisonYesYes

Library Work Study positions are typically available to enrolled students and focus on providing flexible, on-campus support, often with minimal certifications. Library Assistants are more formal roles requiring some certifications or experience, working in public or academic libraries with customer service responsibilities. Both roles support library operations but differ mainly in eligibility and work environment.

What are the most commonly searched types of Library jobs in Independence, MO?

The most popular types of Library jobs in Independence, MO are:

Infographic showing various Library Work Study job openings in Independence, MO as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $29,843 per year, or $14.3 per hour.

Computational Scientist

Kansas City, MO • On-site

Stowers Institute
Scientific Research and Development Services • 201 - 500 employees
Learn more about Stowers Instituteexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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