Lilly Research Laboratories (LRL) aims to discover and develop novel medicines that will benefit patients globally through a relentless focus on innovation and solutions to unmet needs. We are looking for a highly qualified statistician to support a wide variety of projects in the product development (nonclinical) area of LRL in collaboration with biologists, chemists, formulators, and engineers.
Requirements
- Proficient in R, Python, JMP and/or SAS programming language.
- Proficient in acquiring and compiling data across sources
- Expertise in DOE, Bayesian, machine learning, visualization
- Degree in or strong desire to learn about chemistry, biology, engineering, computer science, and pharmaceutical science
Responsibilities
- Experimental design and analysis support for chemists/biologists and formulation scientists to develop, optimize chemical/biochemical processes, validate, and transfer analytical methods
- Design and analysis of long-term and accelerated stability studies to advise development of clinical phase and commercial specifications and expiry dating
- Development and implementation of novel methods to enable or advance drug development and manufacturing
- Author sections of CMC (Chemistry, Manufacturing, and Controls) regulatory submission documents for successful product approval throughout the world
- Collaborate with scientists and statisticians on applied research projects related to modeling, experimental design, process control, and/or multivariate analysis.
- Collaborate with team members or external partners to communicate development study results with an emphasis on clarity and visualization
- Assist with or be responsible for communicating via manuscript or oral presentation
Other
- In addition to strong technical skills, the role requires a strong desire and ability to take initiative, educate, and communicate the value of good statistical practices and concepts to a variety of fellow scientists.
- Communicate results in one-on-one meetings with key customers or external partners and present at scientific meetings
- Develop understanding of scientific areas and disease states to enhance the level of customer focus and collaboration and be a strong scientific contributor.
- Perform work in full compliance with assigned curricula and follow applicable Corporate, local, and departmental policies, procedures, processes, and training.
- Develop and provide training courses for various statistical methods
