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Applications Scientist Jobs in Virginia (NOW HIRING)

Staff - Scientist Worker Sub-Type: Fixed Term (requires end date - benefited) (Fixed Term) Job ... Experience with web-based model applications or visualization tools * Knowledge of coastal and ...

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... Ability to develop persistent monitoring applications for statistical or machine learning processes ...

... an Applications Specialist and play a key role in driving digital excellence across a global ... Bachelor's degree in Computer Science, Engineering, Business Management, or a related field.

College of Science Classification: Research Staff 12-month Job Category: Research Staff Job Type ... Develop Advanced ML/AI Models for Air Quality Applications * Applies machine learning (ML) and ...

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Support development, enhancement, and sustainment of software applications within DoW C4ISR ... Computer Science Software Engineer or Computer-Related Degrees Only: Candidate must be working ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Showing results 41-60

Applications Scientist information

See Virginia salary details

$16

$52

$84

How much do applications scientist jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for applications scientist in Virginia is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.05 per hour, depending on experience, location, and employer.

What is an applications scientist?

Applications Scientists are professionals who bridge the gap between scientific research and product development by providing technical support, training, and solutions to customers using scientific instruments or software. They work closely with sales, marketing, and research teams to demonstrate how products can be applied to solve specific problems in various industries, such as biotechnology, pharmaceuticals, or materials science. Their role often includes conducting product demonstrations, troubleshooting issues, and offering technical expertise to ensure customer success.

What are the key skills and qualifications needed to thrive as an applications scientist?

To thrive as an Applications Scientist, you need a strong background in scientific research, data analysis, and product/application expertise, often supported by a degree in chemistry, biology, or a related field. Familiarity with laboratory instrumentation, specialized software (such as chromatography or spectroscopy programs), and sometimes relevant certifications are typically required. Excellent communication, problem-solving abilities, and customer-focused interpersonal skills help you translate technical information and support clients effectively. These skills ensure you can bridge the gap between product development and end-users, driving customer satisfaction and successful product adoption.

What are some common challenges applications scientists face when working with customers on integrating new technologies?

Applications Scientists often encounter challenges such as bridging the gap between complex technical capabilities and the specific needs of end-users. They must translate scientific principles into practical solutions, address unforeseen technical hurdles during product integration, and provide clear documentation and training. Effective communication and adaptability are crucial, as they frequently collaborate with cross-functional teams—including R&D, sales, and customer support—to ensure successful product adoption and user satisfaction.

What is the difference between Applications Scientist vs Product Specialist?

AspectApplications ScientistProduct Specialist
Required credentialsTypically requires a degree in life sciences, chemistry, or related fields; often a master's or PhDUsually holds a degree in science or engineering; certifications may enhance credibility
Work environmentLaboratory, customer sites, or corporate R&DCustomer-facing, sales, and technical support settings
Employer and industry usageBiotech, pharma, and scientific instrument companiesInstrument and equipment manufacturers, biotech firms

Applications Scientists and Product Specialists often collaborate but focus on different aspects. Applications Scientists primarily support product development and technical validation, while Product Specialists focus on customer engagement and sales support. Both roles require scientific expertise but serve distinct functions within the industry.

Do you need a PhD to be an Applications Scientist?

A PhD is often preferred for Applications Scientist roles, especially in research-intensive fields, but many positions also accept candidates with a master's degree or relevant industry experience. Strong technical knowledge, problem-solving skills, and familiarity with laboratory tools or software are important for this role.

What is the average salary for an applications scientist?

The average salary for an applications scientist typically ranges from $70,000 to $110,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in data analysis or laboratory techniques may earn higher compensation.
Infographic showing various Applications Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,551 per year, or $52.2 per hour.

Research Scientist

Williammary

Gloucester Point, VA

$65K/yr

Full-time

Re-posted 4 days ago


Key responsibilities

  • Develop, implement, and refine unstructured-grid hydrodynamic and water quality models using the SCHISM modeling framework

  • Support the development of seamless creek-to-ocean operational forecasting systems

  • Develop and extend AI and machine learning models for coastal flooding and estuarine processes


Job description

Job Requisition:

JR101439 Research Scientist (Open)

Job Posting Title:

Research Scientist

Department:

CC00496 VIMS1 | RADV | CCRM

Job Family:

Staff - Scientist

Worker Sub-Type:

Fixed Term (requires end date - benefited) (Fixed Term)

Job Requisition Primary Location:

Virginia Institute of Marine Science

Primary Job Posting Location:

Virginia Institute of Marine Science

Job Description Summary:

The Virginia Institute of Marine Science (VIMS) has a three-part mission of research, education, and advisory service. Our overarching goals are to:
-Make seminal advances in understanding marine systems through research and discovery
-Translate research findings into practical solutions to complex issues of societal importance
-Provide new generations of researchers, educators, problem solvers, and managers with a coastal and marine sciences education of unsurpassed quality
The Center for Coastal Resources Management (CCRM) supports informed decision-making on resource management issues at all levels of government, including private and corporate stakeholders, through applied research, advisory services, and scientific innovation.

Job Description:

The Research Scientist will join the Coastal Systems Modeling Group within CCRM to support and advance research in coastal hydrodynamics, water quality processes, and next-generation operational modeling systems. The position will contribute to the development and implementation of seamless "creek-to-ocean" modeling frameworks using the SCHISM modeling system and advance artificial intelligence (AI)-based modeling approaches for coastal flooding and estuarine systems.

The Research Scientist will work collaboratively with faculty, graduate students, visiting scholars, and interdisciplinary partners while also developing independent research aligned with programmatic priorities and sponsor objectives.

Required Qualifications

Education

  • Ph.D. in Coastal Engineering, Oceanography, Civil/Environmental Engineering, Marine Science, Applied Mathematics, or closely related field

Experience

  • Demonstrated record of peer-reviewed research and scholarship commensurate with career stage

  • Experience with numerical modeling of oceanic and estuarine systems

  • Experience using unstructured grid models, particularly SCHISM

  • Experience working in interdisciplinary research teams

Knowledge, Skills & Competencies

  • Strong quantitative and analytical skills

  • Advanced programming skills (e.g., Python, Fortran, MATLAB, R, C/C++)

  • Experience with web-based model applications or visualization tools

  • Knowledge of coastal and estuarine physical processes

  • Familiarity with uncertainty quantification and statistical analysis

Preferred Qualifications

  • Experience integrating AI or machine learning approaches into environmental modeling

  • Experience with operational forecasting systems

  • Experience working on NOAA-funded or federal research projects

  • Experience mentoring graduate students

  • Experience contributing to proposal development and grant management

Salary Range: Starting at $65,000.00

Core Duties & Responsibilities

1. Coastal Systems Modeling & Numerical Simulation (35%)

  • Develop, implement, and refine unstructured-grid hydrodynamic and water quality models, particularly using the SCHISM modeling framework

  • Support development of seamless creek-to-ocean operational forecasting systems

  • Conduct model calibration, validation, and performance evaluation

  • Perform uncertainty quantification and statistical analyses of model outputs

  • Maintain version control and reproducible modeling workflows

2. AI-Based Model Development & Innovation (25%)

  • Develop and extend next-generation AI and machine learning models for coastal flooding and estuarine processes

  • Integrate AI methodologies with physics-based numerical models

  • Explore hybrid modeling frameworks to improve predictive skill and computational efficiency

  • Contribute to advancing operational forecasting tools for stakeholder use

3. Research, Scholarship & Grant Support (20%)

  • Contribute to peer-reviewed publications, technical reports, and sponsor deliverables

  • Assist in preparation of grant proposals and continuation applications

  • Present research findings at scientific conferences, workshops, and stakeholder meetings

  • Support NOAA-funded research objectives and reporting requirements

4. Collaboration & Mentorship (15%)

  • Work closely with graduate students, postdoctoral associates, and visiting scientists

  • Participate in interdisciplinary research teams

  • Engage with collaborators across institutions and agencies

  • Provide technical guidance on modeling workflows and computational methods

5. Independent Research Development (5%)

  • Develop new research directions aligned with coastal systems modeling goals

  • Identify emerging funding opportunities

  • Contribute to strategic growth of the modeling program

Conditions of Employment

  • Position is grant-funded and term-restricted

  • Continued employment contingent upon funding availability and performance

  • Occasional travel for conferences or collaborator meetings may be required

  • Occasional evening or weekend work to meet project deadlines may be required

Additional Job Description:

Job Profile:

JP0126 - Scientist II - Exempt - Salary - S10

Qualifications:

Compensation Grade:

S10

Recruiting Start Date:

2026-03-03

Review Date:

Position Restrictions:

Restricted Funds & Restricted Term

EEO is the Law. Applicants can learn more about William & Mary's status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor's ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.