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Trial Science Jobs in Virginia (NOW HIRING)

Medical Coder

Falls Church, VA · On-site +1

$20 - $26.75/hr

... trial data Review case report forms (CRFs) for accuracy Maintain coding conventions and ... Bachelor's degree in life sciences or related field 3-5 years of medical coding experience ...

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

Ensure consistency and quality of coded clinical trial data * Review case report forms (CRFs) for ... Bachelor's degree in life sciences or related field * 3-5 years of medical coding experience

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

... clinical trial data • Review case report forms (CRFs) for accuracy • Maintain coding ... in life sciences or related field • 3-5 years of medical coding experience • Knowledge of ...

Medical Coder

Falls Church, VA · On-site

$20 - $26.75/hr

... clinical trial data • Review case report forms (CRFs) for accuracy • Maintain coding ... in life sciences or related field • 3-5 years of medical coding experience • Knowledge of ...

Bachelor's degree in library science, Information Science, Life Sciences, Public Health, Biology ... Familiarity with XML, metadata standards, digital repositories, clinical trial registries, or grant ...

Support CSSQT sea trial events and post-trial documentation * Coordinate fleet exercise scenario ... Bachelor's degree in computer science, electrical engineering, systems engineering, or technical ...

Showing results 41-60

Trial Science information

See Virginia salary details

$11

$37

$68

How much do trial science jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for trial science in Virginia is $37.34, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $47.64 per hour, depending on experience, location, and employer.

What is trial science?

A Trial Science job involves applying psychology, research, and analytics to legal proceedings to help attorneys build effective trial strategies. Trial scientists study jury behavior, conduct mock trials, develop case themes, and advise on witness preparation. They use social science techniques to assess juror attitudes and improve courtroom persuasion. Their goal is to maximize the effectiveness of legal arguments and presentation to achieve favorable case outcomes.

What are the key skills and qualifications needed to thrive in trial science?

To excel in Trial Science, you need a solid background in psychology, data analysis, and research methodologies, often supported by an advanced degree in psychology, law, or social sciences. Familiarity with software for jury research, survey design, statistical analysis, and experience with mock trial technology is important. Outstanding communication, analytical thinking, and interpersonal skills help you interpret data and work seamlessly with legal teams. These competencies are essential for providing actionable insights that shape trial strategies and enhance litigation outcomes.

How to become a trial science professional?

To become a trial science professional, typically a bachelor's degree in life sciences, pharmacy, or related fields is required, along with knowledge of clinical trial protocols and regulatory requirements. Gaining experience through internships or entry-level positions in clinical research organizations or pharmaceutical companies is beneficial. Certifications such as Certified Clinical Research Professional (CCRP) can enhance job prospects.

What does a trial science professional do?

A professional in Trial Science typically collaborates closely with attorneys to conduct jury research, prepare witness testimony, and develop case presentations. The workflow often includes designing and analyzing mock trials, conducting focus groups, and interpreting juror feedback to inform trial strategy. There is a strong emphasis on teamwork and communication, as you'll regularly present findings to legal teams and adapt recommendations based on evolving case needs. This role offers exposure to a variety of cases and provides opportunities to develop expertise in both psychology and litigation support, making it rewarding for those who enjoy dynamic, research-driven environments.

What are popular job titles related to Trial Science jobs in Virginia? For Trial Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Trial Science jobs in Virginia look for? The top searched job categories for Trial Science jobs in Virginia are:
What cities in Virginia are hiring for Trial Science jobs? Cities in Virginia with the most Trial Science job openings:
Infographic showing various Trial Science job openings in Virginia as of August 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution, with an average salary of $77,675 per year, or $37.3 per hour.

Advanced Scientist (Drylaid)

Hollingsworth & Vose

Floyd, VA • On-site

Full-time

Re-posted yesterday


Job description

SUMMARY:
Participates in research and development activities related to new product and process development initiatives, utilizing established mathematical and scientific methodologies. The primary responsibility is to innovate in new product and process development, provide technical support that enables customer success with H&V products. A secondary responsibility is to introduce, integrate and leverage AI tools and methodologies to enhance R&D efficiency.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
  • Lead product or process development projects
    • Work directly with customers and Division Sales & Marketing to develop new products for existing markets identified by the division.
    • Develop expertise in appropriate materials technology, as necessary to plan, execute and evaluate laboratory and machine-based trial programs, using the Design of Experiments methodology.
    • Use appropriate DFSS/DFM tools and Stage Gate process for development projects.
    • Work with manufacturing, purchasing and technology on Margin Improvement Initiatives (MIPs).
    • Benchmark competitor grades and technologies.
    • Patent novel inventions.
  • Integrate AI capabilities into R&D and product development
    • Evaluate, implement, and scale AI tools that enhance product development workflows, such as predictive modeling, experimental design optimization, material property prediction, and performance simulation.
    • Help the development of AI-driven models to support product performance forecasting.
    • Train other R&D colleagues on AI-based tools
    • Collaborate with other teams to ensure proper data quality, governance, and usability for AI applications.
  • Interface internally and externally.
    • Develop introductory relationships with customers and vendors.
    • Provide technical guidance to management, divisions, customers and manufacturing on new and modified product development efforts.
    • Communicate plans and results effectively.
    • Influence scientists and managers at multiple locations.
    • Supervise laboratory technicians to achieve product development objectives and develop technician's technical and personal skill base to maximum potential.
    • Provide technical reports and presentations to internal and external project stakeholders, including contributions to Atrium knowledge management system.
  • Understand the relevant end use application.
    • Assist Division Sales and Marketing with technical service in the selection of existing grades capable of meeting stated technical and processing requirements.
    • Keep abreast of relevant industry, applications and materials technology trends through literature, seminars and market contact.
    • Be knowledgeable about test methods used to determine physical characteristics of the material as well as its performance in the end use application.

EDUCATION AND EXPERIENCE:
  • PhD. in Chemical Engineering, Material Science, Data Science or related field
  • S. or M.S. degree in Chemical Engineering, Material Science, Data Science or a related field with equivalent years of relevant work experience.
  • Industrial or project experience applying AI tools for materials modeling, process optimization, predictive analysis, or experimental design is preferred