Full-Time Principal Statistician

THE POSITION: To provide biostatistical support and leadership on a wide range of projects (ie, health economics/modelling, evidence synthesis, trial analysis, real world data, and/or value communications).

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Supporting and/or leading a range of biostatistics projects related to HEOR including one or more of the following: indirect comparisons (e.g., NMA, MAIC), propensity score matching (PSM) studies, real-world evidence (RWE) and/or clinical trial individual patient data (IPD) analyses, simulation studies, feasibility assessments, Bayesian statistical, and/or other related HTA statistical approaches
• Extensive hands-on experience using Bayesian statistical analysis (e.g., Stan/rstan, Jags, OpenBugs) to conduct network meta-analysis (NMA) and multi-level network meta-analysis (ML-NMR).
• Developing subject matter expertise across statistical project types
• Lead and support execution on statistical aspects of projects, including coding, interpretation, and written communications, for one or more of the following:Protocols, statistical analysis plans, statistical analyses,technical reports, case report forms (CRFs), statistical analyses, abstracts, posters, manuscripts, presentations and other report types
• Effectively communicate statistical methods and results in lay terms
• Lead and/or support client calls as subject matter experts
• Delegating activities to and supervising junior staff and contractors
• Mentorship of direct reports in technical stream and delivering performance reviews
• Supporting company strategic initiatives regarding technical or statistics offerings
• Staying updated in the latest innovative statistical methods
• Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.

PEOPLE LEADER responsibilities include:

• Providing guidance and support to other managers.
• Overseeing their respective department.
• Interviewing, selecting and supervising the activities of the department staff.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

• PhD or MSc in Biostatistics, Statistics, Epidemiology, or related field/thesis is preferred.
• Three to five (3-5) years of direct statistics work experience in health research, health technology assessment, market access or a related field
• Extensive hands-on experience using Bayesian statistical analysis (e.g., Stan/rstan, Jags, OpenBugs) to conduct network meta-analysis (NMA) and multi-level network meta-analysis (ML-NMR).
• Strong understanding and experience in statistical methods that support HEOR or HTA.
• Proficiency in R programming and familiarity with reproducible workflows (eg, git, scripts, AWS S3, Rmarkdown, R Shiny, RStudio Connect).
• Proven track record for HEOR and evidence synthesis

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