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Applied Science Jobs in Missouri (NOW HIRING)

Bachelor's Degree in Engineering or Applied Science; Master's in Business Administration or Analytical Applied Science * Minimum 5 years of quality management and manufacturing engineering experience ...

Teacher Assistant

Saint Louis, MO ยท On-site

$12.75 - $16.25/hr

Associate's Degree, or Associates of Applied Science degree in Early Childhood Education or Child Development preferred. * CDA certification preferred. * Successfully complete the Red Cross First Aid ...

Applied Mathematics Tutor

Columbia, MO ยท Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Showing results 21-40

Applied Science information

See Missouri salary details

$23K

$45.4K

$74.1K

How much do applied science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for applied science in Missouri is $45,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $48,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in applied science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What does an applied science do?

An applied science professional uses scientific principles and methods to develop practical solutions, products, or technologies. They often work in research and development, engineering, or technical roles, applying knowledge from fields like physics, chemistry, or biology to real-world problems. Skills in data analysis, experimentation, and technical tools are essential in this role.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, data analyst, quality control specialist, and product development engineer. These jobs often require strong problem-solving skills, knowledge of scientific methods, and proficiency with tools like laboratory equipment or data analysis software.

What jobs does an applied science degree get you?

An applied science degree can lead to roles such as research technician, laboratory analyst, quality control specialist, or product development scientist. These jobs often require skills in data analysis, laboratory techniques, and familiarity with scientific tools and software.

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

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What is an applied science?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are the most commonly searched types of Applied Science jobs in Missouri? The most popular types of Applied Science jobs in Missouri are:
What are popular job titles related to Applied Science jobs in Missouri? For Applied Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Applied Science jobs in Missouri look for? The top searched job categories for Applied Science jobs in Missouri are:
What cities in Missouri are hiring for Applied Science jobs? Cities in Missouri with the most Applied Science job openings:
Infographic showing various Applied Science job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $45,391 per year, or $21.8 per hour.

Senior Director, Applied AI, Design & Innovation

Jobtailor

California, MO โ€ข On-site

$190 - $260/hr

Other

Posted 3 days ago

New


Job description

  • Define and own the multi-year Applied AI roadmap for Clinical Development & Operations
  • Build, scale, and lead a center-of-excellence team spanning data science, ML engineering, GenAI product development, and AI delivery management
  • Serve as the executive voice of Applied AI to Senior Leadership, R&D governance forums, and external partners
  • Lead development of predictive enrollment models that improve forecasting accuracy
  • Champion integration of RWD/RWE into trial design, feasibility, and patient identification workflows
  • Partner with Clinical Operations, Clinical Data Sciences, Biostatistics, Safety, Regulatory, and Digital to ensure AI solutions are designed for adoption, not just deployment
Requirements
  • Bachelor's degree with 14+ years of relevant scientific discipline such as Life Sciences, Information Technology, Computer Science, Pharmacy, Data Science, Business or related field OR 12+ years of relevant experience with an advanced degree or higher
  • Experience leading strategic and complex scientific, operational, and analytical initiatives that support program and study design
  • Demonstrated experience shaping and advancing AI, analytics, digital, or business transformation initiatives in a regulated environment
  • Strong understanding of how to evaluate AI and advanced analytics use cases for business impact, feasibility, scalability, adoption, and operational fit
  • Experience translating business, clinical, and operational needs into scalable technology, analytics, or AI-enabled solutions
  • Experience defining KPI, value, and ROI frameworks for innovation, digital, or AI initiatives
  • Understanding of data, platform, and integration considerations required to deploy digital and AI-enabled capabilities in a complex enterprise environment
Core Competencies

Demonstrates expertise in defining and executing multi-year Applied AI roadmaps, leading cross-functional teams in data science and AI delivery management, and integrating real-world data into clinical trial processes. Proven ability to translate complex business and operational needs into scalable AI solutions while ensuring alignment with regulatory standards.

Highest-signal resume keywords
  • Applied AI Roadmap Development
  • Predictive Enrollment Models
  • AI Solution Integration
  • KPI and ROI Frameworks
  • Regulated Environment Experience
ATS Optimization Keywords Hard Skills
  • Data Science
  • Machine Learning Engineering
  • GenAI Product Development
  • AI Delivery Management
  • Predictive Analytics
  • Business Transformation
  • Operational Fit Evaluation
  • Scalable Technology Solutions
  • Clinical Trial Design
  • Advanced Analytics
Soft Skills
  • Leadership
  • Strategic Thinking
  • Collaboration
  • Communication
  • Stakeholder Engagement
Industry Keywords
  • Life Sciences
  • Clinical Operations
  • Clinical Data Sciences
  • Biostatistics
  • Regulatory Compliance
  • Digital Transformation
  • Real-World Data
  • Real-World Evidence
  • Operational Initiatives
  • Complex Enterprise Environment
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