ZipRecruiter

Log In

1

Meta Research Jobs in Washington (NOW HIRING)

Navtech, Inc.

EDW Modeler

Washington, DC · On-site

$62.25 - $80.50/hr

... meta-data about Data Warehouse System according to computer industry standards and knowledge of ... relative performance; synthesizes research results and develops actionable strategic ...

SPA

Data Analyst with Security Clearance

Springfield, VA · On-site

$110K - $150K/yr

... meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to ... Bachelor's degree in Engineering, Computer Science, Mathematics, Operations Research, Statistics or ...

Intrepid

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

... meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to ... Bachelor's degree in Engineering, Computer Science, Mathematics, Operations Research, Statistics or ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

... meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to ... Bachelor's degree in Engineering, Computer Science, Mathematics, Operations Research, Statistics or ...

previous page

Showing results 41-60

All JobsMeta Research JobsMeta Research Jobs in Washington

Meta Research information

See Washington salary details

$10

$35

$81

How much do meta research jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for meta research in Washington is $35.96, according to ZipRecruiter salary data. Most workers in this role earn between $21.42 and $46.20 per hour, depending on experience, location, and employer.

What is a meta research?

A Meta Research job involves studying the research process itself, analyzing methodologies, biases, reproducibility, and overall scientific practices to improve the quality and reliability of research. Meta researchers assess existing studies, identify patterns, and suggest improvements for greater transparency and accuracy. They often work in academia, industry, or policy-making to enhance evidence-based decision-making.

What are the key skills and qualifications needed to thrive in meta research?

To thrive in Meta Research, you need strong skills in research methodology, data analysis, and a solid academic background in fields such as epidemiology, statistics, or the social sciences. Familiarity with statistical software (such as R or SPSS), systematic review tools, and experience publishing in peer-reviewed journals are commonly expected. Critical thinking, attention to detail, and effective written and verbal communication are vital soft skills for success. These competencies enable accurate evaluation and synthesis of scientific studies, ensuring high-quality evidence to inform best practices and policy decisions.

What are the typical challenges faced by professionals working in meta research?

Professionals in Meta Research often encounter challenges such as synthesizing large volumes of complex and sometimes conflicting scientific literature, ensuring data quality across diverse studies, and maintaining objectivity throughout the review process. Additionally, staying updated with rapidly evolving research methodologies and publication standards can be demanding. Working collaboratively with multidisciplinary teams and effectively communicating nuanced findings to both technical and non-technical audiences are also key aspects of the role. These challenges make the work dynamic but also intellectually rewarding for those passionate about advancing scientific knowledge and improving research integrity.

How to become a Meta Research scientist?

To become a Meta Research scientist, candidates typically need a strong background in computer science, machine learning, or related fields, often requiring a Ph.D. or equivalent experience. Relevant skills include programming in Python or C++, experience with data analysis, and familiarity with research tools and frameworks. Building a strong research portfolio and publishing in reputable conferences can also improve chances of selection.

What does a Meta Researcher do?

A Meta Researcher conducts studies and analyzes data related to social media platforms, user behavior, and technology trends to inform product development and strategy. They often use data analysis tools, statistical methods, and research methodologies to generate insights. The role requires strong analytical skills and familiarity with research software and data privacy standards.

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

The most popular types of Meta Research jobs in Washington are:

What are popular job titles related to Meta Research jobs in Washington?

For Meta Research jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Meta Research jobs in Washington look for?

The top searched job categories for Meta Research jobs in Washington are:

What cities in Washington are hiring for Meta Research jobs?

Cities in Washington with the most Meta Research job openings:

Meta Research jobs near you
Infographic showing various Meta Research job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 6% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $74,787 per year, or $36 per hour.

NIST PREP Postdoc Associate in Integrated Photonics for Quantum Sensing

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$75K - $85K/yr

Full-time

Re-posted 22 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Integrated Photonics for Quantum Sensing
The work will entail: We are looking for a postdoctoral scholar to design, fabricate, and/or test integrated photonics for one or more of the following application areas:
  • Meta-optics for coupling to free-space optical modes, e.g., interfaces to atomic systems
  • High-Q optical microcavities for laser frequency stabilization and precision sensing
  • Electro-optics for light modulation and/or phase control
  • Robust test structures for characterizing nanofabrication accuracy, identifying optical losses, etc.

This work will be highly collaborative with interactions spanning multiple labs across NIST. The postdoc will work with a team to carry out the design/fabricate/test workflow, where "design" entails simulating integrated photonic structures to estimate optical properties such as loss and dispersion, and creating GDS layouts of designs; "fabricate" entails using tools supported by the NIST Center for Nanoscale Science and Technology, such as EBL and LPCVD, to realize designed structures; and "test" entails performing measurements of the fabricated structure's optical properties using lasers, spectrometers, etc.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Analyze heterogeneous data sources.
  • Use analysis to iterate device designs and collaborate with others to do so.
  • Present results at internal meetings, and occasional meetings with external stakeholders.
  • Publish results in the relevant scientific literature when appropriate.

Qualifications
  • PhD in physics, electrical engineering, or a related field.
  • 5+ years of experience, as evidenced by publications or recommendations, with integrated photonics.
  • Familiarity with electromagnetics simulation software such as COMSOL or Lumerical.
  • Familiarity with nanofabrication techniques such as EBL and LPCVD.
  • Familiarity with optical measurement techniques for loss, dispersion, noise, etc.
  • Ability to develop prototypes of tools needed to analyze data.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 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-bachelor's degree holders, graduate students, master'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.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004289

Apply