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Scientific Assistant Jobs in Washington (NOW HIRING)

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Scientific Assistant information

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$1.9K

$5.4K

$10.8K

How much do scientific assistant jobs pay per month?

As of Sep 4, 2026, the average monthly pay for scientific assistant in Washington is $5,393.50, according to ZipRecruiter salary data. Most workers in this role earn between $3,399.92 and $6,620.92 per month, depending on experience, location, and employer.

What is a scientific assistant?

Scientific Assistants are professionals who support scientists and researchers in laboratories, fieldwork, or academic settings. Their duties typically include preparing experiments, collecting and analyzing data, maintaining equipment, and assisting with documentation and reporting. They play a vital role in ensuring experiments and research projects run smoothly by handling technical and administrative tasks. Scientific Assistants often work under the supervision of senior scientists or researchers and may specialize in fields such as biology, chemistry, or physics.

What are some common challenges scientific assistants face when managing multiple research projects simultaneously?

Scientific Assistants often juggle several research projects at once, which can present challenges in prioritizing tasks, maintaining meticulous records, and meeting deadlines. Balancing administrative duties, laboratory work, and data analysis requires strong organizational and time-management skills. Open communication with supervising scientists and research teams is essential to clarify expectations and ensure that all projects stay on track. Developing efficient workflows and regularly reviewing progress can help Scientific Assistants manage these demands effectively.

What are the key skills and qualifications needed to thrive as a scientific assistant, and why are they important?

To thrive as a Scientific Assistant, you typically need a bachelor's degree in a scientific discipline, strong analytical abilities, and experience with laboratory procedures. Familiarity with laboratory equipment, data analysis software (such as Excel, SPSS, or R), and adherence to safety protocols are commonly required. Attention to detail, strong organizational skills, and effective communication help you excel in supporting research activities and collaborating with team members. These skills and qualities are crucial for ensuring accurate data collection, maintaining safe lab environments, and contributing to the success of scientific projects.

What is the difference between Scientific Assistant vs Laboratory Technician?

AspectScientific AssistantLaboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate degree or diploma in laboratory technology
Work EnvironmentResearch labs, academic institutions, government agenciesHospitals, research labs, industrial settings
Employer & Industry UsageResearch projects, scientific studies, academiaSample analysis, equipment maintenance, routine testing
Common Search & ComparisonOften compared for entry-level scientific rolesOften compared for technical laboratory support roles

The Scientific Assistant and Laboratory Technician roles share similarities in work environments and required credentials, but Scientific Assistants typically focus on supporting research activities, while Laboratory Technicians handle routine testing and sample processing. Both roles are essential in scientific and medical settings, with the Scientific Assistant often involved in data collection and analysis, and the Laboratory Technician performing technical procedures.

How to become a scientific assistant?

To become a scientific assistant, candidates typically need a relevant bachelor's degree in a scientific field such as biology, chemistry, or physics. Gaining laboratory experience, developing technical skills, and sometimes obtaining certifications can improve job prospects. Strong attention to detail and proficiency with scientific tools and software are also important.

What are the most commonly searched types of Scientific jobs in Washington?

The most popular types of Scientific jobs in Washington are:

What job categories do people searching Scientific Assistant jobs in Washington look for?

The top searched job categories for Scientific Assistant jobs in Washington are:

What cities in Washington are hiring for Scientific Assistant jobs?

Cities in Washington with the most Scientific Assistant job openings:

Infographic showing various Scientific Assistant job openings in Washington as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 16% Part Time, 3% Temporary, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $64,722 per year, or $31.1 per hour.

Assistant Research Scientist (PREP0005086)

The Chronicle Of Higher Education, Inc.

Gaithersburg, MD โ€ข On-site

$50 - $100/hr

Other

Medical, Life, Retirement

Posted 3 days ago

New


Job description

Johns Hopkins, founded in 1876, is America's first researchuniversity and home to nine world-class academic divisions working together as one university.

Johns Hopkins University: Whiting School of Engineering: Office of Research and Translation

Salary

: $50,000-$100,000 a year

Description PREP Research Associate

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research Title:

Physical AI Researcher

The work will entail:

NIST is investigating the performance of commercial and custom AI systems (hardware and software) for Physical AI applications, specifically in machine learning, reinforcement learning, and foundation model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures. The work will focus on leveraging physics-based simulations (e.g., Gazebo, MuJoCo, Drake) and synthetic data generation within platforms like NVIDIA Isaac Sim/ GR00T / Cosmos to conduct experiments, analyze system capabilities, and generate high-quality data to train robust Physical AI systems.

Key responsibilities will include but are not limited to:
  • Develop Physical AI applications using machine learning and reinforcement learning.
  • Research and develop Foundational model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures.
  • Research and develop methods for synthetic data generation within platforms like NVIDIA IsaacSim / GR00T / Cosmos to conduct experiments to analyze system capabilities, and generate high-quality data to train robust Physical AI Systems.
  • Write reports and develop weekly presentations to explain the progress of the project

Work Schedule: On-campus (Gaithersburg, MD), Full-Time (40 hrs / week)

Qualifications
  • US Citizen Preferred
  • Education: Engineering / Computer Science majors with Masterโ€™s Degree or Ph.D, or in the final year of degree (e.g., Computer Science, Robotics, Mechanical Engineering or similar)
  • Strong programming experience in Python and C++
  • Experience in AI / Machine Learning frameworks (e.g., TensorFlow, PyTorch, etc.)
  • Experience with developing and applying tools for Machine Learning, Reinforcement Learning, and Foundational Models for Vision-Language Models (VLM) and Vision-Language Action (VLA) architectures
  • Experience in Synthetic data generation in and for NVIDIA IsaacSim, GR00T, and Cosmos environments
  • Experience in Physics-based simulation engines (e.g., Gazebo, MuJoCo, Drake, etc.)
  • Experience with version control software and workflow (e.g., Git, GitHub, GitLab, BitBucket, etc)
  • Experience with Unix / Linux Operating systems
  • Experience with ROS 2 on Linux systems
  • Some experience in with CAD software (e.g., SolidWorks, OnShape, etc.)
Privacy Act Statement

Authority: 15 U.S.C. ยง 278g-1(e)(1) and (e)(3) and 15 U.S.C. ยง 272(b) and (c)

Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelorโ€™s degree holders, graduate students, masterโ€™s degree holders, postdocs, and faculty.

PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.

Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.

Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

Equal Employment Opportunity Statement Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.

Background Checks

After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidateโ€™s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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