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

About the Role

As part of the American Society of Anesthesiologists team, the Systematic Review Scientist will collaborate with clinical experts, statisticians, and stakeholders to ensure methodological rigor and relevance. The team is committed to excellence, dedication, and continuous improvement, making this a great opportunity to work with like-minded professionals.

The role entails working on complex projects, designing and conducting systematic reviews, and performing pairwise meta-analyses and network meta-analyses. The successful candidate will be expected to develop and execute reproducible workflows for literature searching, screening, data extraction, and risk-of-bias assessment.

What You Will Do

• Design, conduct, and report systematic reviews in accordance with methodological best practices, such as PRISMA, Cochrane, and 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 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

What We Are Looking For

• Bachelor’s degree in a related field, such as public health, epidemiology, statistics, or health economics
• Minimum 5 years of experience with healthcare 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, including Word, Excel, and PowerPoint
• Proficiency with statistical software used for meta-analysis, such as R, Stata, SAS, or equivalent
• Experience using reference management and systematic review platforms, such as EndNote, Covidence, DistillerSR, Rayyan, or similar
• Familiarity with reproducible research practices and version control systems

Nice to Have

• Master’s degree in Public Health, Epidemiology, Statistics, Health Economics, or a related discipline
• Experience with AI-enabled tools and automation software
• Knowledge of programming languages, such as Python or R
• Experience with data visualization tools, such as Tableau or Power BI

Benefits and Perks

• Flexible hybrid work arrangements, allowing for remote work and a healthy work-life balance
• A “dress for your day” mindset, promoting a comfortable and relaxed work environment
• Generous time off, including paid vacation days, sick leave, and holidays
• Professional development and educational benefits, including training and conference sponsorships
• Access to cutting-edge tools and technologies, including AI-enabled software and statistical analysis platforms
• Collaborative and dynamic work environment, with a team of experienced professionals
• Opportunities for growth and advancement, including leadership development and mentorship programs
• Comprehensive health insurance, including medical, dental, and vision coverage
• Retirement savings plan, including a 401(k) matching program
• Remote stipend, including reimbursement for home office expenses and internet connectivity

• Tip: Develop a strong understanding of evidence synthesis methods and statistical approaches, including meta-analyses and network meta-analyses.
• When applying, highlight your experience with AI-enabled tools and automation software, and be prepared to provide examples of how you have used these tools in previous roles.
• To stand out, consider including a portfolio of your work, including published systematic reviews and meta-analyses, and be prepared to discuss your methodology and results in detail.
• Be prepared to discuss your experience with reproducible research practices and version control systems, and highlight your ability to work collaboratively with cross-functional teams.
• When negotiating salary, consider highlighting your experience and qualifications, and be prepared to discuss your expectations for professional development and growth opportunities.
• Red flag: Be cautious of companies that do not prioritize methodological rigor and transparency, and be prepared to ask questions about the company’s approach to evidence synthesis and AI-enabled tools.