Senior Research Consultant, Evidence Review and Software; Remote
Toronto, Ontario, C6A, Canada
Listed on 2026-03-01
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IT/Tech
Data Scientist, Data Analyst -
Research/Development
Data Scientist
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
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 deadlinesSelf‑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
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
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.
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