Description
SYSTEMATIC REVIEW SCIENTIST
SCHAUMBURG, IL; WASHINGTON, DC; OR REMOTE
Feel good about your work—and your workplace.
The American Society of Anesthesiologists (ASA) team provides education, resources, and advocacy to help our members improve the experience and safety of patients in their care. You can be a part of this important work—join more than 160 change-makers, collaborators, and advocates as we continually work towards excellence.
We live our core values of collaboration, dedication, commitment, and improvement every day. And we know that diversity in the way we look, think, learn, and live makes everything ASA does better. Our policies, culture, and people strengthen this commitment every day. As a result, ASA has been named one of the Best and Brightest Companies to Work For in Chicago and the Nation® for the past ten years.
ASA offers flexible hybrid work arrangements, a "dress for your day" mindset, generous time off, plus professional development and educational benefits, so you can write your own story. What's more because ASA is a professional association—not a corporation—we value performance over profits.
Be part of a collaborative, caring community.
Position Summary:
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.
Primary Position Responsibilities:
| · 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. |
ASA Benefits:
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, breastmilk shipping, CALM subscription, volunteer committees, employee resource groups, and much more. More detailed benefits information can be found at: https://www.asahq.org/about-asa/work-at-asa/benefits.
ASA Compensation Philosophy:
ASA conducts market analysis of its positions, ensuring the compensation is comparable with jobs of the same level, skills, and abilities. Additionally, ASA believes in the importance of pay equity and consider internal equity of our current team members as part of any final offer. ASA strives to be transparent with our pay practices both internally and externally.
Position Compensation:
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 policies.
EEOC:
ASA is an Equal Opportunity Employer of Minorities, Females, Individuals with Disabilities, and Veterans that values the strength diversity brings to our workplace. Decisions affecting employment are considered without regard to disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected characteristic.
Environment:
While performing the duties of this job, the employee regularly works in an office environment with light noise. Work may be frequently interrupted. The employee will spend most of the workday sitting, computing, and talking/hearing. May require lifting (boxes) in the 10-25 lb. range requiring the ability to bend at the waist and knee.
Please follow the link to apply: https://recruiting2.ultipro.com/AME1090ASAN/JobBoard/79dc62ee-25a8-40d7-92fe-8327b8e4afb5/Opportunity/OpportunityDetail?opportunityId=7a3c3c02-14c6-4b8d-b925-03de27ce1a3c
See job posting.
Requirements
Position Qualifications:
| · 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., EndNote, 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. |
