Biostatistician II

Requirements

• MSc or PhD preferred
• Professional work experience in the development of meta-analysis, indirect comparisons, network meta-analysis, predictive equations, survival analysis (including parametric methods), longitudinal data analysis, and other hierarchical analysis techniques, etc.
• Practical experience in the application of statistics in health technology appraisal, health economics, outcomes research or clinical data analysis is preferred but can be learned on the job.
• Proficiency in R programming and familiarity with reproducible workflows (eg, git, scripts, AWS S3, Rmarkdown, R Shiny, RStudio Connect).
• Knowledge of Bayesian modeling, Markov chain Monte Carlo (MCMC) sampling, and related software applications (eg, Stan, Jags, OpenBugs, WinBugs) is an asset but can be learned on the job.
• Proficiency with computer programming software (eg, VBA) or other role-related software
• PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:
• The physical and mental requirements along with the work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
• Office: While performing the essential functions of this

Benefits

Additional Information

ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: Independently executes statistical aspects of projects that meet client expectations. Provide one-on-one mentorship to new employees and coops. Assists in the training of junior statisticians to develop methodological expertise, soft skills, and other aspects of professional development. Development of statistical analysis plans. Conducts statistical analyses. Report development. Interpretation and dissemination of findings. Oversees and implements quality control activities. Lead or participate in the develop or modification of novel statistical analysis code. Creates, maintains, or extends R packages and R shiny applications to standardize common statistical routines and enable their accessibility, using Git for version and BitBucket for collaboration. Participating in meetings with clients and/or internal project teams to lead discussions around statistical methods and to present results from analyses Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias. All other duties as assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. EXPECT AT IONS OF THE JOB: Travel : Some travel may be required for meeting with clients, stakeholders, or off-site personnel/management Hours : Monday to Friday, 37.5 hours per week Overtime and/or weekend/evening hours may be required to meet project deadlines The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position. An individual in this position must be able to successfully perform the expectations listed above. MINIMUM KNOWLEDGE, SKILLS AND ABILITIES: The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. PhD or MSc in Biostatistics, Statistics, Epidemiology, Health Economics or related field/thesis One to three years of direct work experience in health research, health technology assessment, market access or a related field OR equivalent combination of experience and relevant academic training/dissertation. Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of meta-analysis, indirect comparisons, network meta-analysis, predictive equations, regression modeling, propensity score analysis, survival analysis (including parametric methods), longitudinal data analysis, etc. Strong statistical programming skills with standard software, including R, WinBUGS/OpenBUGS, SAS, and/or STATA. Experience analyzing patient-level data from clinical trials and/or real-word observational data (eg, surveys, health administrative/claims databases, electronic medical records). Ability to plan, oversee, and manage consistent coding conventions in complex projects. Technically competent with Microsoft Office, including Word, Excel, and PowerPoint. Strong attention to detail, critical thinking, analytical, problem-solving, and multitasking capabilities. Ability to prioritize and execute tasks in a sometimes high-pressure environment. Ability to work independently and in a team-oriented, collaborative environment. Ability to effectively interact and communicate with peers, senior management, and clients. Ability to effectively train, and mentor junior employees. Ability to communicate effectively (spoken and written), in non-technical terms, with project team members and clients .

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