The business problem is to design, plan, and execute statistical components of research studies to prove the clinical, economic, and humanistic value of pharmaceutical assets. This involves analyzing various databases and providing analytical insights to support therapeutic areas.
Requirements
- analytics programing (SAS, SQL, R, Python)
- experience in observational study analysis (claims, survey, clinical and EMR analysis)
- Ability to incorporate production code macros
- ability to execute programming assignments and problem solve issues independently
- Experience and/or training in the application of advanced scientific and analytical methods in real world evidence generation
- prior experience in the UNIX/Hadoop environment preferred
Responsibilities
- Position uses sound statistical methodology to conduct studies, develops/or applies statistical theories, methods, and applies technical programming skills and experience to analyze clinical, survey and claims databases.
- Candidates are expected to standardize coding convention, and processes to increase efficiency.
- Candidates must be adept at breaking down complex data into easily understood language and data visualization creation for comprehension of less technical audiences.
- Candidates should also be creative in the use of RWD/E and advanced analytics approaches such as machine learning to propose solutions to complex business questions.
- Utilization of good coding, development and documentation practices to ensure robust creation, quality control and maintenance of analytics projects
- Support clinical trial endpoint strategies by executing analysis and contributing to statistical analysis plans/programming specifications
- Contribute to the writing and publishing of scientific presentations
Other
- The candidate is expected to be the analytics lead for the assigned therapeutic areas to mitigate, resolve and triage analytical complexities
- Presenting results of analysis and key takeaways to audiences with varying technical skill and level within the organization.
- Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
- Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintaining effective cross-functional working relationships to ensure effective teamwork and problem solving within the cross-functional team
- Translating TA business into project concepts to develop analysis plans, study design and corresponding analysis
