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Evidence Synthesis Systematic Review Jobs in Federal Way, WA

Stryker

Senior Staff Medical Writer (Remote)

Seattle, WA · On-site +1

$143K - $238K/yr

Compile, analyze, and synthesize clinical evidence from clinical studies, published literature ... Conduct systematic literature reviews, evaluate scientific data, and integrate findings into ...

Uw

AI Agent Builder

Seattle, WA · On-site

... literature review, data analysis, grant writing support, and knowledge synthesis. * Support ... equivalent evidence of hands-on work). Demonstrated experience building AI agents, chatbots, or ...

Blue Origin

Senior Simulation Engineer

Seattle, WA · On-site

$197K - $276K/yr

... synthetic data to support machine learning training activities - Mature Isaac Sim + Newton models ... evidence) for both space vehicle and rover mobility domains - Support debugging and anomaly ...

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All JobsEvidence Synthesis Systematic Review JobsEvidence Synthesis Systematic Review Jobs in Federal Way, WA

Evidence Synthesis Systematic Review information

See Federal Way, WA salary details

$31.3K

$101K

$172K

How much do evidence synthesis systematic review jobs pay per year?

As of Aug 30, 2026, the average yearly pay for evidence synthesis systematic review in Federal Way, WA is $100,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $110,000.00 per year, depending on experience, location, and employer.

What is an evidence synthesis systematic review?

An Evidence Synthesis Systematic Review is a rigorous research method used to collect, evaluate, and summarize findings from multiple studies on a specific topic or question. The goal is to provide an unbiased, comprehensive overview of the available evidence, which can help inform policy, clinical practice, and future research. Systematic reviews follow a structured protocol, including predefined criteria for study selection, data extraction, and quality assessment, to minimize bias and ensure transparency. This process often includes meta-analysis, where appropriate, to quantitatively combine results from individual studies.

What are some common challenges faced by professionals conducting evidence synthesis systematic reviews, and how can they be addressed?

Professionals working on evidence synthesis systematic reviews often encounter challenges such as managing large volumes of data, dealing with heterogeneous study designs, and ensuring rigorous methodological transparency. To address these, teams typically use specialized software for data management, establish clear inclusion/exclusion criteria early on, and follow established reporting guidelines like PRISMA. Regular team meetings and collaboration with subject matter experts also help in maintaining quality and resolving ambiguities throughout the review process.

What are the key skills and qualifications needed to thrive as an evidence synthesis systematic reviewer, and why are they important?

To excel as an Evidence Synthesis Systematic Reviewer, you need a strong background in research methods, critical appraisal, and data analysis, often supported by an advanced degree in health sciences or a related field. Familiarity with systematic review management software (e.g., Covidence, RevMan), bibliographic databases, and tools for assessing study quality is essential. Attention to detail, analytical thinking, and effective written communication are vital soft skills for interpreting findings and reporting results clearly. These competencies ensure the production of high-quality, reliable evidence syntheses that inform policy and practice decisions.

What is the difference between Evidence Synthesis Systematic Review vs Evidence Analyst?

AspectEvidence Synthesis Systematic ReviewEvidence Analyst
CredentialsTypically requires advanced degrees in health sciences or research methodsOften holds degrees in data analysis, health sciences, or related fields
Work EnvironmentResearch teams, academic institutions, healthcare organizationsResearch firms, healthcare companies, government agencies
Primary FocusConducting comprehensive reviews of existing evidence to inform decision-makingAnalyzing and interpreting evidence data to support research and policy

While both roles involve working with evidence data, Evidence Synthesis Systematic Review specialists focus on designing and conducting systematic reviews, whereas Evidence Analysts analyze evidence data to generate insights. Both roles are essential in evidence-based decision-making but differ in scope and responsibilities.

What are popular job titles related to Evidence Synthesis Systematic Review jobs in Federal Way, WA?

For Evidence Synthesis Systematic Review jobs in Federal Way, WA, the most frequently searched job titles are:

What job categories do people searching Evidence Synthesis Systematic Review jobs in Federal Way, WA look for?

The top searched job categories for Evidence Synthesis Systematic Review jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Evidence Synthesis Systematic Review jobs?

Cities near Federal Way, WA with the most Evidence Synthesis Systematic Review job openings:

Evidence Synthesis Systematic Review jobs near you
Infographic showing various Evidence Synthesis Systematic Review job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,974 per year, or $48.5 per hour.

Medical Evaluation Specialist - Remote

YO AI Labs

Seattle, WA • Remote

$40 - $90/hr

Full-time

Posted 4 days ago

Job description

Job Title: Medical Evaluation Specialist

Role Type: Contractor
Location: Remote

Job Overview

We are seeking Medical Evaluation Specialists, including medical students, residents, physicians, and qualified biomedical professionals, to contribute clinical expertise to a project focused on evaluating and improving next-generation AI systems.

In this role, you will create and validate challenging medical questions and answers designed to test advanced clinical reasoning. Your work will help assess whether AI systems can accurately interpret medical evidence, synthesize complex information, and apply nuanced clinical judgment.

No prior AI experience is required—your medical knowledge, research skills, and clinical reasoning are what matter most.

Scope of Work
  • Create original, high-difficulty medical question-and-answer pairs covering areas such as diagnosis, pathophysiology, pharmacology, clinical guidelines, and clinical decision-making.
  • Develop questions that require synthesis, interpretation, and genuine medical reasoning rather than simple factual recall.
  • Research and verify answers using primary literature, clinical guidelines, systematic reviews, and authoritative medical references.
  • Document the rationale behind answers and provide appropriate supporting citations.
  • Evaluate AI-generated responses for clinical accuracy, completeness, reasoning quality, and adherence to available evidence.
  • Identify questions that are too straightforward and refine them to increase complexity while maintaining clinical validity.
  • Review questions and answers for ambiguity, unsupported assumptions, factual errors, and inconsistencies.
  • Ensure all deliverables are written with clarity, precision, and defensibility.
  • Incorporate reviewer feedback and adapt work to evolving project guidelines and quality standards.
  • Contribute insights that help establish rigorous benchmarks for medical AI evaluation.
Required Skills
  • Medical Training
  • Research & Source Triangulation
  • Attention to Detail
  • Written Precision
  • Analytical Thinking
  • Clinical Reasoning
  • Medical Literature Review
  • Evidence Synthesis
  • Self-Direction & Reliability
  • Medical Question Development
Preferred Qualifications
  • Current or recent medical training or clinical practice as a medical student, resident, or physician, or equivalent expertise in a relevant biomedical discipline.
  • Demonstrated ability to locate, interpret, compare, and synthesize information from primary research and clinical guidelines.
  • Strong written English skills with exceptional attention to detail.
  • Ability to create engaging, well-structured, challenging, and clinically nuanced questions.
  • Strong understanding of evidence-based medicine and clinical reasoning.
  • Ability to work independently, manage deadlines, and consistently deliver high-quality work in a remote environment.
  • Previous experience with medical question writing, peer review, clinical education, medical content evaluation, or research is a plus.
  • Familiarity with AI/ML systems, AI evaluation, or medical AI applications is advantageous but not required.
Compensation Structure

Compensation is output-based, with contributors paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on experience and individual workflow.

Minimum submission requirements apply, and selected contributors are expected to complete a minimum number of tasks per week.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected contributors should be prepared to begin their first assignments within 24–48 hours of completing onboarding.