Biometric Research Scientist

To 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.
These results are achieved by:
Independently executes statistical aspects of projects that meet client expectations.
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.
Oversees and implements quality control activities.
Lead or participate in the develop or modification of novel statistical analysis code.
Participating in meetings with clients and/or internal project teams to lead discussions around statistical methods and to present results from analyses.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
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

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.
Ability to effectively interact and communicate with peers senior management and clients.
Ability to communicate effectively (spoken and written) in non-technical terms with project team members and clients.
Familiarity with techniques such as 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 JavaScript would be a great asset.
Proficiency with computer programming software (eg VBA) or other role-related software (eg EndNote) is an asset
Office: While performing the essential functions of this job the employee is frequently required to sit for longer periods grasp stand and/or sit for long periods of time (up to 90% of the shift) walk talk and hear; Embrace Diversity I create an environment of awareness and respect.
Always Innovate I am bold and creative in everything I do
EVERSANA is committed to providing competitive salaries and benefits for all employees. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience other job-related qualifications/skills and geographic location (to account for comparative cost of living). Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites unsolicited e-mails or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANAs inception Diversity Equity & Inclusion have always been key to our success. Diversity not only includes race and gender identity but also age disability status veteran status sexual orientation religion and many other parts of ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.
EVERSANA is an equal opportunity employer which values diversity in the workplace and encourages applications from all qualified applicants. For details on our AODA Accessibility Policy please visit posting is for an existing vacancy. Follow us on LinkedIn Twitter
Remote Work :
Full-time