Full-Time Biostatistician II
EVERSANA is hiring a remote Full-Time Biostatistician II. The career level for this job opening is Experienced and is accepting Burlington, Canada based applicants remotely. Read complete job description before applying.
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Support studies related to meta-analysis, network meta-analysis, indirect treatment comparisons, health economic models, trial simulation, and exploratory analysis of clinical and real-world data.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Independently executes statistical aspects of projects that meet client expectations.
- Provide one-on-one mentorship to new employees and co-ops.
- 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.
- All other duties as assigned.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:
- 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-world 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.
PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:
Office environment.