Biostatistician
reputed company is committed to creating a healthier world through reputed company commercialization services to the life sciences industry. The Biostatistician will support studies reputed company to reputed company-analysis, conduct statistical analyses, and provide mentorship to junior statisticians while ensuring the quality of statistical work meets client expectations.
Responsibilities
- 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 reputed company 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
- reputed company or participate in the reputed company or modification of novel statistical analysis code
- Creates, maintains, or extends R packages and R shiny applications to standardize common statistical routines and reputed company their accessibility, using Git for version and BitBucket for collaboration
- Participating in meetings with clients and/or internal project teams to reputed company discussions around statistical methods and to present results from analyses
- reputed company other duties as assigned
Skills
- PhD or MSc in Biostatistics, Statistics, Epidemiology, Health Economics or reputed company field/reputed company
- One to three years of direct work experience in health research, health technology assessment, market access or a reputed company field OR equivalent combination of experience and relevant academic training/dissertation
- Strong basis in reputed company statistical concepts and methods and familiarity with techniques such as development of reputed company-analysis, indirect comparisons, network reputed company-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, reputed company, 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, reputed company, and manage consistent coding conventions in reputed company projects
- Technically competent with reputed company Office, including Word, reputed company, 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
- Familiarity with techniques such as development of reputed company-analysis, indirect comparisons, network reputed company-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 JavaScript would be a great asset
- Proficiency with computer programming software (eg, VBA) or other role-reputed company software (eg, EndNote) is an asset
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