Senior Research Statistician - Statistical Innovation (Hybrid)
About The Position
The Senior Research Statistician in Statistical Innovation provides scientific and statistical leadership for initiatives focused on designing innovative clinical trials. The role evaluates, develops, and deploys advanced and novel statistical and analytical modeling and simulations to advance modeling and simulation in Clinical Development. The position supports evaluation, introduction, development, and education of novel statistical and machine-learning approaches; investigates innovative designs and analysis options using scientific computing, modeling, and simulations; and develops, implements, and rolls out statistical and deep-learning tools to operationalize innovative methodologies. The statistician also builds an external reputation and influences industry through presentations, industry meetings, and peer-reviewed publications.
Requirements
- PhD in Statistics, Biostatistics, or a highly related field.
- Advanced knowledge of statistical modeling and methodology.
- Good understanding of the drug development process.
- Demonstrated experience in advanced statistical computing and simulation.
- Proven expertise in standard statistical software such as SAS or R.
- Ability to collaborate and consult with discipline experts and leaders within and across functions.
- Excellent oral and written communication skills.
- Excellent teamwork and leadership skills.
- Passion for statistical innovation and a willingness to think outside the box and challenge the status quo.
Nice To Haves
- Experience in pharmaceutical development and applied statistics or statistical consulting.
- Expertise in specialized statistical software such as FACTS or EAST.
Responsibilities
- Provide scientific and statistical leadership to initiatives for designing innovative clinical trials.
- Evaluate, develop, and deploy advanced and novel statistical and analytical modeling and simulations for Clinical Development.
- Support the evaluation, introduction, development, and education of novel statistical, machine-learning, and deep-learning approaches.
- Investigate and evaluate complex innovative designs and analysis options using scientific computing, modeling, and simulations.
- Acquire and apply knowledge of advanced and emerging statistical methods, including adaptive designs, Bayesian methods, synthetic control, and predictive modeling.
- Create and implement new or improved approaches and ideas in modeling and simulations to solve real-world problems.
- Evaluate alternative statistical and machine-learning approaches.
- Develop, implement, and roll out statistical and deep-learning tools and techniques, using tools such as R, R-shiny, Python, and Julia.
- Build and maintain an external reputation and influence industry through presentations, industry meetings, and peer-reviewed publications.
- Collaborate and consult with discipline experts and leaders within and across functions.
Benefits
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) for eligible employees.
- Eligibility to participate in short-term incentive programs.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
