SRC, Comparative Effectiveness (Must have HEOR exp.) - REMOTE US and Canada

Cytel

$80K — $120K *
US-Anywhere
+ 2 other locationsRemote
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or PhD in a relevant field with 1-5 years' experience in healthcare.
  • Experience in quantitative health outcomes and health economics preferred.
  • Proficient in advanced R programming for statistical analysis.
  • Familiarity with causal inference methods and Bayesian inference is advantageous.

Responsibilities

  • Serve as a consultant in health economics/statistics, producing thorough analyses and reports.
  • Write detailed reports on health economics analysis and ensure quality control.
  • Utilize advanced statistical modeling techniques, including survival analysis and longitudinal modeling.
  • Guide systematic literature reviews (SLRs) for meta-analyses and synthesize evidence.
  • Develop and model comparative effectiveness studies using indirect treatment comparisons.

Benefits

  • Opportunity to work closely with a collaborative team of health economists.
  • Role offers potential for advancement to health economic statistician.
  • Involvement in high-level statistical and economic analyses for significant healthcare outcomes.
  • Exposure to cutting-edge analytical techniques and methodologies.
Full Job Description
Job Description

Responsibilities:
Specific day to day activities may include:
• Consultant in HE/HTA statistics (+/-100% of the work): As a Statistician with Cytel you will work directly with the CE team to produce high-quality statistical and economic statistical analysis and reporting. The intention is for the statistician to work closely with health economists and become a health economic statistician (or simply health economist).
• Report writing for health economics analysis or other technical deliverables (including potential quality control of analysis) could also be involved depending on the analyst skills and interests.
• This is a technical position i.e. requiring statistics, mathematics and regression skills. This is not a writing or qualitative position; but writing skills will be considered an asset.

Responsibilities

Essential Duties and Responsibilities:
• Statistical Modelling in health economics: Survival analysis, longitudinal modeling, etc.
• Evidence synthesis: Guiding SLR development for meta-analysis, meta-regression etc.
• Developing and modelling in comparative effectiveness: Indirect treatment comparison, NMA, etc.
• Advanced comparative effectiveness: STC, MAIC, complex matchings or cross-over analysis

Qualifications

Master's degree or PhD with 1-5 years of experience in health care setting (consulting/pharma/government).
Experience in quantitative health outcomes, health economics strongly preferred.
Advanced R user
Experience with causal inference methods and Bayesian inference is an asset

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