Senior Research Consultant, Evidence Review and Software (Remote - Canada)

We are looking for 7+ years in HEOR, epidemiology, or pharmacoepidemiology with hands-on systematic review experience. Must have experience interpreting or reviewing statistical outputs from meta-analysis or network meta-analysis software (e.g., R packages, WinBUGS/JAGS, or equivalent). 

The Senior Research Consultant, Evidence Review and Software serves as a key subject matter expert supporting both product development and customer success for Cytel’s AI-powered systematic, targeted literature review, and evidence synthesis (meta-analysis and network meta-analysis) solutions. This role blends deep HEOR and evidence synthesis expertise with strategic customer engagement, operational delivery, and cross-functional collaboration.

• Design screening and extraction templates: Define reusable inclusion/exclusion criteria and extraction variable schemas for common HEOR review types
• Craft and adjudicate gold sets: Build annotated benchmark datasets; serve as tie-breaker on edge cases including outcome harmonization and comparability decisions relevant to quantitative synthesis
• Validate and calibrate AI outputs: Partner with data science to benchmark accuracy, surface error patterns, and adjudicate low-confidence cases 
• Refine prompts: Improve AI instructions to capture HEOR terminology, decision logic, and edge cases
• Oversee review quality: Spot-check outputs; ensure deliverables meet publication and submission standards
• Lead client engagements: Primary HEOR expert for onboarding, scoping, and deliverable review
• Own QA protocols: Define decision rules, quality standards, and production workflows; track defect rate and turnaround benchmarks
• Feedback loop to product: Translate client needs into actionable improvements; support new feature development  suitable for evidence synthesis and quantitative analysis workflows

Education: Master's or PhD in Health Economics, Epidemiology, Pharmacoepidemiology, Public Health, or a related life science

Experience: 

• 7+ years in HEOR, epidemiology, or pharmacoepidemiology with hands-on systematic review experience
• Deep familiarity with PRISMA guidelines and HTA submission standards (NICE, CADTH, ICER, or equivalents)
• Strong annotation instincts and a high-quality bar for evidence synthesis including outcome definition, data consistency, and comparability for quantitative analyses
• Experience interpreting or reviewing statistical outputs from meta-analysis or network meta-analysis software (e.g., R packages, WinBUGS/JAGS, or equivalent)
• Oncology and/or real-world evidence (RWE) background
• Clear, actionable written communication suited for both technical and non-technical audiences 
• Client-facing experience: Comfortable presenting to stakeholders, managing expectations, and delivering under deadlines
• Self-directed with the ability to balance strategic input and hands-on execution
• Comfort working with sensitive client data; follow our QA and privacy SOPs
• Experience guiding or evaluating ML/NLP tools for text classification or extraction
• Comfort reviewing structured outputs (Excel, CSV) and spotting data quality issues
• Prior consulting or CRO experience with external client delivery
• Experience building or scaling operational workflows for evidence synthesis teams
   

Skills:

• Excellent written and oral communication skills, both formal and informal 

• Strong analytical skills including interpretation of quantitative evidence synthesis results

• Excellent people skills to interact with staff, colleagues and cross-functional teams, and third parties.

• High comfort level with a broad scope of software development technology