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Applied Research Scientist Jobs (NOW HIRING)

NYULMC

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

She is the PI of the NIA-funded Geriatric Emergency care Applied Research (GEAR) Network and is ... The Senior Research Scientist should be able to work autonomously, while maintaining effective ...

NYU Langone Health

Senior Research Scientist

Manhattan, NY · On-site

$108K - $137K/yr

She is the PI of the NIA-funded Geriatric Emergency care Applied Research (GEAR) Network and is ... The Senior Research Scientist should be able to work autonomously, while maintaining effective ...

Williammary

Research Scientist

Gloucester Point, VA

$65K/yr

D. in Coastal Engineering, Oceanography, Civil/Environmental Engineering, Marine Science, Applied Mathematics, or closely related field Experience * Demonstrated record of peer-reviewed research and ...

Snorkel AI

Research Scientist

... in applied settings with measurable impact. • Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI's broader research initiatives and rapidly ...

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Applied Research Scientist information

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$50.5K

$130.1K

$174K

How much do applied research scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for applied research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

Are applied research scientists paid well?

Applied research scientists typically earn competitive salaries that vary based on experience, education, and industry. In technology and research sectors, they often receive additional benefits such as bonuses, stock options, and opportunities for professional development. Overall, the role is considered well-compensated compared to many other scientific or technical positions.

What is an applied research scientist?

Applied Research Scientists are professionals who use scientific methods and research techniques to solve real-world problems, often focusing on practical applications rather than theoretical understanding. They typically work in industries like technology, healthcare, or engineering, where they develop new products, improve processes, or innovate solutions. Their work involves designing experiments, analyzing data, and collaborating with cross-functional teams to bring research findings into practical use. Applied Research Scientists often bridge the gap between fundamental research and product development, ensuring that scientific advancements translate into tangible benefits.

What are some common challenges faced by applied research scientists when transitioning projects from research to practical application?

Applied Research Scientists often encounter challenges in bridging the gap between theoretical research and real-world implementation. Translating complex findings into scalable, user-friendly solutions requires close collaboration with engineering, product, and business teams. Balancing rigorous scientific standards with practical constraints like timelines, budgets, and stakeholder expectations is crucial. Effective communication and adaptability are key, as projects may need to be iteratively refined based on feedback from diverse teams.

What are the key skills and qualifications needed to thrive as an applied research scientist, and why are they important?

To thrive as an Applied Research Scientist, you typically need an advanced degree (Master’s or PhD) in a relevant scientific field, strong analytical skills, and experience with experimental design and data analysis. Familiarity with programming languages (such as Python or R), statistical software, and machine learning frameworks is essential, and certifications in data science or specialized research methodologies can be advantageous. Excellent problem-solving, communication, and collaboration skills set outstanding candidates apart, enabling them to translate research findings into practical solutions. These competencies are crucial for driving innovation, effectively communicating results, and advancing organizational goals through impactful scientific research.

What is the difference between Applied Research Scientist vs Data Scientist?

AspectApplied Research ScientistData Scientist
CredentialsTypically requires a PhD or master's in a related fieldUsually holds a bachelor's or master's in data science, statistics, or related fields
Work EnvironmentFocuses on developing new algorithms, models, and scientific researchAnalyzes data to extract insights, build predictive models, and support decision-making
Industry UsageCommon in tech, academia, and R&D divisions of companiesWidely used across industries like finance, healthcare, and marketing

Applied Research Scientists focus on creating innovative algorithms and scientific advancements, often in research settings, while Data Scientists analyze data to solve business problems. Both roles require strong technical skills, but their primary goals and work environments differ.

More about Applied Research Scientist jobs
What cities are hiring for Applied Research Scientist jobs? Cities with the most Applied Research Scientist job openings:
What states have the most Applied Research Scientist jobs? States with the most job openings for Applied Research Scientist jobs include:
What job categories do people searching Applied Research Scientist jobs look for? The top searched job categories for Applied Research Scientist jobs are:
Applied Research Scientist jobs near you
Infographic showing various Applied Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia Corporation

Redmond, WA • On-site

$110K - $140K/yr

Full-time

Re-posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.
Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you'll join a rapidly growing Quantum Computing team, and work with partners across the industry. You'll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware
  • Research and co-design improved methods to achieve more scaled decoders
  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:
  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry
  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Ways to stand out from the crowd:
  • Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning
  • Experience with co-design of quantum error correction with quantum hardware or quantum applications
  • Experience with CUDA and NVIDIA GPUs
  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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