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Exercise Research Jobs in California (NOW HIRING)

Gibson Dunn

Senior Research Analyst

Los Angeles, CA · Hybrid

$125K - $145K/yr

Demonstrated ability to exercise independent judgment and discretion on research matters of significance, applying advanced and specialized knowledge with minimal supervision. * Excellent oral and ...

Alutiiq

Operations Research Analyst

El Segundo, CA

$215K - $250K/yr

This role brings deep operations research expertise to modeling, simulation, and analysis (MS&A) of complex space sensing missions - including wargaming, exercise analysis, test and evaluation, and ...

Socket.dev

Senior Research Analyst

Los Angeles, CA · On-site

$125K - $145K/yr

Demonstrated ability to exercise independent judgment and discretion on research matters of significance, applying advanced and specialized knowledge with minimal supervision. * Excellent oral and ...

Gibson Dunn

Senior Research Analyst

Los Angeles, CA · On-site

$125K - $145K/yr

Demonstrated ability to exercise independent judgment and discretion on research matters of significance, applying advanced and specialized knowledge with minimal supervision. * Excellent oral and ...

ISHE

Senior Research Analyst

Los Angeles, CA · On-site

$125K - $125K/yr

Exercise good judgment and accountability in prioritizing billable workflow and either meeting or ... Appropriately scope, research, and respond to complex legal, corporate, industry, and client ...

Anthropic

Research Engineer, Universes

San Francisco, CA · On-site +1

$500K - $850K/yr

... exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role ...

Gladstone

Research Associate I

San Francisco, CA · On-site

$28/hr

Exercise basic technical discretion to troubleshoot experiments * Review data, prepare figures and ... research experience including basic biology skills and excellent cell culture sterile technique

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Exercise Research information

What is exercise research?

Exercise research is the scientific study of physical activity, its effects on the human body, and how exercise can be used to prevent or treat health conditions. Researchers in this field investigate topics like exercise physiology, biomechanics, sports performance, rehabilitation, and the psychological impacts of physical activity. The goal is to understand how different types, intensities, and frequencies of exercise influence health, fitness, and overall well-being. Exercise research informs guidelines for physical activity and helps develop interventions to improve public health.

What are jobs in exercise research?

Jobs in exercise research include exercise physiologists who research the human body and how it responds and adapts to exercise. As an exercise physiologist, you examine the human response to exercise. Your responsibilities involve the study of subjects in controlled lab settings. You develop tests to prove a thesis by recording physical, metabolic, and development information. Other duties can include working in an exercise science department at a research institute or post-secondary school. Keeping up to date on current peer-reviewed exercise science research is a critical part of your job. As a researcher, you travel to various locations to research and test subjects.

What are the key skills and qualifications needed to thrive as an exercise researcher, and why are they important?

To thrive as an Exercise Researcher, you need a strong background in exercise science, physiology, research methodology, and typically a relevant advanced degree such as a master's or PhD. Familiarity with statistical analysis software (e.g., SPSS, R), laboratory equipment, and human performance testing tools is essential. Critical thinking, attention to detail, and strong written and verbal communication skills set outstanding researchers apart. These skills and qualifications are crucial for designing rigorous studies, accurately analyzing data, and effectively communicating findings to advance the field.

What are some common challenges faced by professionals in exercise research, and how are they typically addressed?

Professionals in exercise research often encounter challenges such as recruiting a sufficient and diverse participant pool, ensuring compliance with study protocols, and controlling for external variables that may affect outcomes. These challenges are typically addressed through strategic partnerships with local fitness centers or clinics, the use of robust study designs, and careful data management. Collaboration with interdisciplinary teams, including statisticians and clinicians, also helps ensure methodological rigor and the reliability of research findings.

What is the difference between Exercise Research vs Exercise Physiologist?

AspectExercise ResearchExercise Physiologist
Required CredentialsAdvanced degrees (Master's/PhD), research certificationsBachelor's or Master's degree in exercise science, certification (e.g., ACSM)
Work EnvironmentResearch labs, universities, healthcare institutionsClinics, hospitals, fitness centers, community health programs
Employer & Industry UsageAcademic, research institutions, government agenciesHealthcare, fitness, rehabilitation facilities
Primary FocusConducting studies, developing exercise protocols, advancing scientific knowledgeDesigning and implementing exercise programs for health and rehabilitation

Exercise Research focuses on scientific studies and developing new exercise protocols, often within academic or research settings. In contrast, Exercise Physiologists apply this knowledge directly to patient care and fitness programs. Both roles require related credentials but serve different purposes within the health and fitness industry.

How do I become an exercise researcher?

To become an exercise researcher, typically a bachelor's degree in exercise science, kinesiology, or a related field is required, often followed by a master's or doctoral degree for advanced roles. Gaining experience through internships, research assistant positions, and developing skills in data analysis and laboratory techniques are important steps. Certification or training in research methods and familiarity with relevant tools like statistical software can also enhance job prospects.

What careers can you get with exercise research?

Careers in exercise research include roles such as exercise physiologist, sports scientist, research analyst, and clinical exercise specialist. These positions often require knowledge of human physiology, data analysis skills, and certifications like ACSM or NSCA, and may involve working in laboratories, healthcare settings, or sports organizations.
More about Exercise Research jobs

What are the most commonly searched types of Exercise Research jobs in California?

The most popular types of Exercise Research jobs in California are:

What are popular job titles related to Exercise Research jobs in California?

For Exercise Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Exercise Research jobs in California look for?

The top searched job categories for Exercise Research jobs in California are:

What cities in California are hiring for Exercise Research jobs?

Cities in California with the most Exercise Research job openings:

Exercise Research jobs near you
Infographic showing various Exercise Research job openings in California as of September 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 100% In-person job distribution.

Staff Software Engineer, Operations Research

Palo Alto, CA • On-site

Wing
See more jobs at Wingexternal

$241K/yr

Full-time

Re-posted 8 days ago

Job description

About the Role:

Wing is looking for a Staff Software Engineer, Operations Research to join our Delivery Network team. This role is hybrid based in Palo Alto, CA.

As a Staff Software Engineer, Operations Research, you will own the mathematical foundation of our delivery network. Moving physical goods through the sky autonomously introduces dynamic constraints: battery conditions, real-time weather patterns, airspace de-confliction, and shifting marketplace demand.

You will dive into a wealth of flight and logistics data, using advanced optimization techniques to maximize value for our consumers, our partners, and our fleet. You will exercise independent judgment to define our technical roadmap and bridge the gap between abstract mathematical models and our production environment. You will leverage advanced solvers and simulations to build solutions that scale with Wing's business.

What You'll Do: 

  • Design and Implement Algorithms: Build new algorithm components within our production delivery network system to meet emerging requirements. We work with Google OR-Tools and the researchers that develop it.
  • Extract Data-Driven Insights: Analyze complex logistics data to identify network inefficiencies, translating those insights directly into production-ready algorithm enhancements.
  • Integrate OR and ML: Combine state-of-the-art optimization and machine learning techniques (e.g., using ML for demand forecasting and Tools for fleet positioning) to improve the speed and quality of our dispatching decisions.
  • Lead Cross-Functionally: Collaborate tightly with software engineers, data scientists, hardware teams, and product managers to develop scalable, cross-cutting solutions that balance physical constraints with business value.
  • Exercise Strategic Autonomy: Evaluate technical options, make informed architectural decisions, and determine the appropriate OR methodologies to solve ambiguous, open-ended problems.
  • Mentorship: Elevate the technical rigor of the team by guiding junior scientists and engineers in OR fundamentals, code quality, and algorithm design.

What You'll Need: 

  • 12+ years of industry or post-graduate experience solving complex optimization problems using mathematical programming or metaheuristics.
  • Ph.D. or Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a closely related field.
  • Strong coding ability in Python, C++, or Java. You must understand object-oriented programming, functional programming concepts, and core computer science algorithms.
  • A proven track record of designing algorithms that don't just live in research papers, but operate efficiently in real-time production software systems.
  • Previous experience in aviation, autonomous vehicles, ride-sharing, or last-mile logistics.
  • Deep familiarity with other commercial or open-source optimization solvers (e.g., Gurobi, CPLEX, SCIP).
  • Experience with cloud computing platforms (GCP, AWS) and integrating solvers into scalable, distributed systems.
  • Experience modeling systems for simulation and designing experiments. We use a combination of discrete event simulations and high fidelity physics simulations.

Apply