Biostatistician II, Pharmacovigilance Focus
Remote from home in the US!Full-TimeMiddle
Salary80000 - 130000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- A minimum of 3 years of applied statistical experience is required. Experience equivalent to 3 years working with complex longitudinal datasets and applying advanced statistical methods is preferred.
- Required Skills
- R
Requirements
- Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field
- Minimum of 3 years of applied statistical experience
- Experience programming in R for data manipulation and statistical analysis
- Experience programming in SAS
- Experience equivalent to 3 years working with complex longitudinal datasets and applying advanced statistical methods (preferred)
- Experience with causal inference theory and methods (plus)
- Highly organized and detail-oriented
- Excellent time management skills and ability to prioritize tasks
- Strong communication skills
- Ability to work independently and as part of a team
- Clear writing skills and adherence to best practices for commenting of programming code
Responsibilities
- Implement statistical analysis plans involving complex longitudinal registry data
- Prepare appropriate analytic summaries and context for reports and publications
- Design studies, analyze data, and develop reports for pharmacovigilance work to provide real-world evidence regarding drug safety
- Conduct long-term post-authorization safety studies to support regulatory commitments
- Work cross-functionally with Engineering, Clinical Data Management, and Project Management teams on registry data
- Incorporate client requests from query and PV work
- Compile, analyze, and report statistical data for various projects
- Conduct complex statistical analyses with supervision in accordance with statistical analysis plans
- Support the Biostatistical Team Lead in developing new statistical methodologies for data analysis
- Apply advanced statistical methods, which may include simulation models and other statistical programming
- Review relevant literature and existing data, assess data quality, and demonstrate increasing independence in statistical decision-making
- Contribute to research projects and take initiative in professional activities
- Collaborate and participate in knowledge sharing with other statistical analysts
- Utilize various database management systems as required
View Full Description & ApplyYou'll be redirected to the employer's site
