Senior Research Statistician - Statistical Innovation (Hybrid)

Senior Research Statistician (Statistical Innovation)

Responsibilities:
- Support evaluation, introduction, development, and education of novel statistical and/or machine learning/deep learning approaches.
- Investigate/evaluate complex innovative designs and analysis options using scientific computing, modeling, and simulations.
- Acquire knowledge in advanced and emerging statistical methods (e.g., adaptive designs, Bayesian methods, synthetic control, predictive modeling).
- Create and implement new or improved approaches, alternatives, and breakthrough ideas in modeling and simulations.
- Apply statistical knowledge to solve real-world problems; evaluate alternative statistical and machine learning approaches.
- Develop, implement, and roll out statistical and deep learning tools/techniques (e.g., R, R-shiny, Python, Julia) to operationalize innovative methodologies.
- Build and maintain external reputation via presentations, industry meetings, or peer-reviewed publications.

Qualifications:
Minimum:
- PhD in Statistics, Biostatistics, or related field.
- Advanced knowledge of statistical modeling/methodology and good understanding of drug development process.
- Experience in advanced statistical computing & simulation.
- Proven expertise in standard tools (e.g., SAS, R).

Preferred:
- Experience in pharmaceutical development and applied statistics/statistical consulting.
- Expertise in specialized statistical software (e.g., FACTS, EAST).

Other Required Skills:
- Collaborate and consult with subject-matter experts and leaders across functions.
- Excellent oral and written communication.
- Strong teamwork and leadership.
- Passion for statistical innovation; think creatively and challenge the status quo.