Lead statistical strategy and execution for projects including solubility modeling and prediction; accelerated stability and shelf-life estimation; reaction trend fingerprinting and outlier detection; dissolution modeling; mechanistic modeling; and spectral analytics (ssNMR, THz-Raman, XRD)
Develop design of experiments and Bayesian Optimization workflows to accelerate method development and reaction optimization
Lead chemometric and spectral analysis pipelines
Work closely with researchers on experimental design, data analysis, interpretation, and clear communication of evidence to support research, development, and product commercialization
Co-author scientific publications and present research findings at internal and external forums
Build and maintain trusted relationships with colleagues and stakeholders through clear, reliable statistical guidance
Support internal capability building through statistical trainings, mentorship, and the development and dissemination of best practices and reproducible workflows

Advanced degree in Statistics, Biostatistics, Chemometrics or a closely related discipline (Ph.D. preferred; M.S. considered with exceptional experience)
Minimum 5 years of applied statistical modeling experience in pharmaceutical, biotech, or chemical process environments or equivalent industry experience
Strong expertise in Bayesian and frequentist methods, including experience with design of experiments
Hands-on programming proficiency in R and/or Python
Demonstrated ability to lead cross-functional collaborations and to present complex statistical concepts clearly to non-statistical audiences
Advocate of reproducible code, robust documentation, and sound data governance practices
Strong communicator capable of building trust across scientific, engineering and product teams.

Principal Scientist, Manufacturing Statistics

Key skills