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Evidence Synthesis Jobs in Seattle, WA (NOW HIRING)

Scorpion Therapeutics

Director, CX Research

Bothell, WA · On-site

$150 - $210/hr

... evidence. * Operationalize AI-enabled research methods and continuous feedback loops (automated workflows, persona-based insight extraction, synthetic data where appropriate) with ethical rigor.

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Pfizer

Director, CX Research

Bothell, WA · On-site

Evidence that reaches decision-makers fast enough to change what ships. Few researchers get to ... insight extraction, and synthetic data whereappropriate toaccelerate time-to-insight ...

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Evidence Synthesis information

What does an evidence synthesis professional do?

An Evidence Synthesis job involves systematically gathering, evaluating, and summarizing findings from multiple research studies to provide a comprehensive understanding of a topic. Professionals in this role use methodologies like systematic reviews, meta-analyses, and qualitative syntheses to inform decision-making in healthcare, policy, and other fields. They assess study quality, extract key data, and interpret findings to generate reliable conclusions. These roles are common in academic research, government agencies, healthcare organizations, and consulting firms.

What types of projects or studies do evidence synthesis professionals typically work on?

Evidence Synthesis professionals commonly contribute to projects such as systematic reviews, meta-analyses, and health technology assessments, often informing clinical guidelines or policy decisions. They collaborate closely with multidisciplinary teams, including clinicians, statisticians, and policymakers, to ensure comprehensive analysis and interpretation of complex data. These roles often involve managing large datasets, evaluating study quality, and synthesizing findings for diverse audiences. For job seekers, this means a dynamic work environment with opportunities for continual learning and participation in impactful research that shapes best practices in healthcare and other sectors.

What are the key skills and qualifications needed to thrive in evidence synthesis, and why are they important?

To excel in Evidence Synthesis, you need strong analytical abilities, expertise in systematic review methodologies, and a background in public health, epidemiology, or a related discipline. Familiarity with specialized software such as Covidence, RevMan, or EndNote, as well as knowledge of PRISMA guidelines, is highly valued. Attention to detail, critical thinking, and effective written and verbal communication are essential soft skills. These competencies ensure reliable and transparent integration of research findings to inform evidence-based decision-making.

What are the most commonly searched types of Evidence Synthesis jobs in Seattle, WA?

The most popular types of Evidence Synthesis jobs in Seattle, WA are:

What are popular job titles related to Evidence Synthesis jobs in Seattle, WA?

For Evidence Synthesis jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Evidence Synthesis jobs in Seattle, WA look for?

The top searched job categories for Evidence Synthesis jobs in Seattle, WA are:

Evidence Synthesis jobs near you
Infographic showing various Evidence Synthesis job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.

Medical Evaluation Specialist - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$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.