Computational Statistician - Pharma

Statistical Analysis

- Support the development and maintenance of statistical models and other key features, enhancements, and applications for the Design Hub Analytics Initiative (DHAI) and Design Hub Data Insights organization.

- Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans.

- Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.

- Collaborate with data management in the planning and implementation of data quality assurance plans.

- Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods.

- Effectively justify methods selected and implement previously outlined analysis plans.

- Conduct peer-review of work products from statistical colleagues.

- Effectively utilize current technologies and available tools for conducting the clinical trial analysis.

- Communication of Results and Inferences

- Collaborate with other statistical colleagues to write reports and communicate results.

- Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers.

- Assist or respond to regulatory queries working in collaboration with other statistical colleagues. Therapeutic Area and Systems Knowledge:

- Understand relevant disease states in order to enhance the level of customer focus and collaboration.

- Ensure replication of tools and systems, where applicable and stay informed of technological advances.

Regulatory and Quality Compliance:

- Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training.

Basic Qualifications:

- Master's degree in Statistics or Biostatistics

Additional skills/preferences - Proficiency in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc.

- Interpersonal/teamwork skills for effective interactions

- Technical growth and application with working knowledge of statistics and statistical software

- Self-management skills with a focus on results for timely and accurate completion of competing deliverables

- Creativity and innovation

- Demonstrated problem-solving ability and attention to detail

- Data analysis, technology, and systems expertise