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Meta Analysis Jobs (NOW HIRING)

Implement and interpret HTA validated meta-analytic methods and indirect treatment comparisons, including network meta-analysis, matching-adjusted indirect comparison, simulated treatment comparison ...

Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling. * Understanding of Bayesian approaches and modeling frameworks. * Proven ...

Investigate complex cases and conduct deep analysis of potential threats that may manifest on Meta technologies * Independently manage multiple analyses at once while effectively prioritizing time

Investigate complex cases and conduct deep analysis of potential threats that may manifest on Meta technologies * Independently manage multiple analyses at once while effectively prioritizing time

Investigate complex cases and conduct deep analysis of potential threats that may manifest on Meta technologies * Independently manage multiple analyses at once while effectively prioritizing time

Investigate complex cases and conduct deep analysis of potential threats that may manifest on Meta technologies * Independently manage multiple analyses at once while effectively prioritizing time

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Meta Analysis information

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$40K

$92K

$142.5K

How much do meta analysis jobs pay per year?

As of Jun 21, 2026, the average yearly pay for meta analysis in the United States is $91,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What jobs pay 2000 a day?

In the field of meta analysis, highly experienced professionals such as senior researchers or consultants may earn around $2,000 per day, especially when working on large projects or for specialized firms. These roles typically require advanced statistical skills, knowledge of research methodologies, and often involve consulting or contract work. Such high daily rates are more common in consulting, academia, or industry expert positions with significant expertise and reputation.

What are some typical challenges faced by professionals conducting meta-analyses?

Professionals doing meta-analyses often encounter challenges such as variability in study design, inconsistent data quality, and publication bias, which require careful methodological decisions. A key part of the job is determining inclusion criteria, managing large volumes of data, and ensuring transparent documentation throughout the research process. Collaboration with subject matter experts, statisticians, and other researchers is common to address complex questions and reach consensus on findings. While these challenges can be demanding, they also provide opportunities to develop expertise in advanced research techniques and strengthen critical thinking skills.

What jobs will no longer exist in 2030?

Meta Analysis as a job may decline as automation and AI tools improve data synthesis and research processes. Roles heavily reliant on manual data collection or basic analysis are likely to be replaced by advanced software, while jobs requiring complex interpretation and critical thinking will continue to be in demand.

What are the key skills and qualifications needed to thrive in the Meta Analysis position, and why are they important?

To thrive in meta analysis roles, you need advanced analytical skills, familiarity with statistical methodologies, and a graduate degree in epidemiology, biostatistics, psychology, or a related field. Proficiency with statistical software such as R, Stata, or RevMan, and often certification in systematic review methods, is highly valued. Strong written communication, attention to detail, and critical thinking skills are crucial for synthesizing evidence and collaborating with interdisciplinary teams. These abilities enable you to produce high-quality, reliable meta-analyses that inform critical decisions in research and policy.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. Skills in statistical analysis, data visualization, and tools like SQL and Excel are essential, and the role may evolve to include knowledge of machine learning and data management systems.

What is a Meta Analysis job?

A Meta Analysis job involves systematically reviewing and statistically combining results from multiple studies to identify patterns, trends, and overall effects. Professionals in this role use specialized statistical techniques to assess the reliability and validity of research findings. They often work in academia, healthcare, social sciences, or finance to provide evidence-based insights for decision-making. Strong analytical skills, attention to detail, and proficiency in statistical software are essential for success in this role.

What is a Meta analyst?

A Meta analyst is a professional who systematically reviews and combines data from multiple studies to identify overall trends and effects. They often use statistical tools like meta-analysis software and require strong analytical skills to interpret complex data sets, typically working in research, healthcare, or social sciences environments.
More about Meta Analysis jobs
What cities are hiring for Meta Analysis jobs? Cities with the most Meta Analysis job openings:
What are the most commonly searched types of Meta Analysis jobs? The most popular types of Meta Analysis jobs are:
What states have the most Meta Analysis jobs? States with the most job openings for Meta Analysis jobs include:
Infographic showing various Meta Analysis job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 18% Part Time, and 12% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $91,965 per year, or $44.2 per hour.
Hardware Research Engineer: Meta Robotics Studio

Hardware Research Engineer: Meta Robotics Studio

Meta

Redmond, WA

$144K/yr

Full-time

Posted 24 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. The Meta Robotics Studio is seeking a Research Engineer. This role is pivotal in tackling challenging mechanical/electrical design problems including designing and developing complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role will be part of a cross-collaborative team responsible for initial concept development, analytical modeling, prototype design, construction, and testing; and it may involve research into Electro-mechanics, Sensor and Communication, and/or Planning and Control.
Hardware Research Engineer: Meta Robotics Studio Responsibilities:
  • Design and Development: mechanical and electrical system design and analysis problems for robotics structure, mechanisms, power transmissions, electric components, and systems integration while balancing ergonomics, performance, reliability
  • Supporting parts manufacture: Working with internal/external partners to support part fabrication and complex custom sub assembly
  • Assembly of robot: Hands on work in the lab constructing sub-assemblies to full system level robot prototypes
  • Failure analysis: Build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
  • Collaboration: Work closely with a cross-functional team of engineers to deliver technical solutions

Minimum Qualifications:
  • 3+ years of experience in Mechanical/Electrical Design Engineering and with experience in Machine Design or Electrical component development
  • BS degree or equivalent experience in Mechanical/Electrical Engineering or a related field
  • Experience designing electromechanical assemblies (robotics, automotive, aerospace, industrial automation)
  • Experience with SOLIDWORKS, Siemens NX or similar CAD tools
  • Experience with prototyping processes and materials
  • Experience with embedded systems and communication protocols
  • Experience in tolerance analysis, geometric dimensioning and tolerancing (GD&T)

Preferred Qualifications:
  • Experience with simulation tools conducting finite element analysis: structural and modal.
  • Familiarity with traditional mass production manufacturing processes, including injection molding, CNC machining, sheet metal.
  • Experience in Robotics and consumer electronic product design.
  • Experience in power electronics and battery management programming.
  • 3+ years of experience in Mechanical Design Engineering and with experience in Machine Design.
  • Experience with automation equipment design and custom machine builds.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$144,000/year to $204,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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