Systematic Review Scientist - Schaumburg, IL; Washington, DC; or Remote

SYSTEMATIC REVIEW SCIENTIST

SCHAUMBURG, IL; WASHINGTON, DC; OR REMOTE

The Systematic Review Scientist will lead and support high-quality evidence synthesis projects, with a strong emphasis on meta‑analyses and network meta‑analyses. This role requires deep methodological expertise combined with a forward‑looking mindset. The successful candidate will be comfortable leveraging artificial intelligence (AI) and automation tools to increase efficiency, consistency, and scalability across the evidence synthesis lifecycle.

• Design, conduct, and report systematic reviews in accordance with methodological best practices (e.g., PRISMA, Cochrane, GRADE).
• Perform pairwise meta‑analyses and network meta‑analyses, including model selection, assessment of heterogeneity, inconsistency, and sensitivity analyses.
• Develop and execute reproducible workflows for literature searching, screening, data extraction, and risk‑of‑bias assessment.
• Lead or contribute to protocol development, statistical analysis plans, and final reports/manuscripts.
• Collaborate with clinical experts, statisticians, and stakeholders to ensure methodological rigor and relevance.
• Apply AI‑enabled tools (e.g., machine‑learning‑assisted screening, data extraction, LLM‑based summarization) to streamline review processes while maintaining quality and transparency.
• Evaluate, validate, and refine AI workflows to ensure appropriate use, auditability, and methodological integrity.
• Stay current with advances in evidence synthesis methods, statistical approaches, and AI applications.
• Mentor less experienced staff and contribute to internal methodological standards and guidance, as appropriate.
• Provide support, project management, subject‑matter expertise and liaison services to assigned Committees and/or Councils.
• Ability to perform work in alignment with ASA core values:
  Dedication, Collaboration, Commitment to Excellence, Continuous Improvement.

• Bachelor’s degree in related field required. Master’s degree in Public Health, Epidemiology, Statistics, Health Economics, or related discipline preferred.
• Minimum 5 years of experience with health care research.
• Demonstrated experience conducting systematic reviews and meta‑analyses including hands‑on experience with network meta‑analysis. Published peer‑reviewed systematic reviews and/or network meta‑analysis is preferred.
• Strong understanding of evidence synthesis standards, risk‑of‑bias tools, and reporting guidelines.
• Experienced user of Microsoft Office products:
  Word, Excel, and PowerPoint.
• Proficiency with statistical software used for meta‑analysis (i.e., R, Stata, SAS, or equivalent).
• Experience using reference management and systematic review platforms (i.e., End Note, Covidence, DistillerSR, Rayyan, or similar).
• Familiarity with reproducible research practices (i.e., version control, reproducible code) is preferred.
• Experience working with guideline development, HTA, or regulatory contexts is preferred.
• Practical experience using AI or machine‑learning‑enabled tools to support systematic review tasks (i.e., screening, data extraction, summarization, quality checks) is preferred.
• Ability to design efficient, scalable workflows that integrate AI while preserving methodological rigor and transparency is preferred.

As part of the health care community, we offer a full slate of health, financial, and wellness benefits to support personal and family needs, including quality medical, dental, and vision insurance at a reasonable cost, 401K match, a free fitness center, breast milk shipping, CALM subscription, volunteer committees, employee resource groups, and much more. More detailed benefits information can be found at: https://(Use the "Apply for this Job" box below)..

This position is an exempt/salaried position. The target hiring pay range for this position is: $115,000 to $145,000 annually. This position is not eligible for a yearly bonus/incentive. Compensation decisions consider a wide range of factors, including but not limited to relevant experience, skills, certifications, business needs, and organizational…