Biostatistician II

EVERSANA

4d•Onsite

About The Position

At EVERSANA®, we are proud to be a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. Our global team of more than 6,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 670 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Requirements

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.

Nice To Haves

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

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 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.