Pre-Clinical Statistician

Lilly Job Opportunity

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

We are seeking a candidate with experience in pre-clinical research, particularly in the oncology space.

The Project Statistician provides statistical leadership in multiple dimensions including:

• Provides technical leadership and expertise in initiating and carrying out multi-disciplinary or cross functional projects that impact the Lilly Research Laboratory and the Statistical Sciences organization
• Leads the assessment and introduction of new statistical technology and methodology, including both frequentist and Bayesian techniques, to apply to broader practice
• Leads the design and analysis of in-vitro and in-vivo experiments to advance the discovery portfolio, innovative study designs, and statistical analysis plans in collaboration with biologists and other researchers
• Provides consultation for specialized biomarker analyses including genomic analysis of RNA expression data and analysis of other biomarker data (single cell RNA, NGS, protein, imaging) in conjunction with pre-clinical and clinical data
• Establish novel visualizations to explain complex results and interactions
• Provides consulting and statistical direction on priority discovery projects

Statistical Design and Analysis:

• Work with Drug Discovery teams to understand statistical needs to improve the quality of candidates and shorten drug development timelines. This will involve understanding the experimental objectives, appropriately specifying the primary and secondary endpoints, setting the sample size using statistical power analysis, determining appropriate statistical methods, and analyzing the data to determine the results. Engage in the write up of the results and presentations to Project and Scientific Management
• Understand biological assay development needs and advise biologists on experiments required to validate biological assays for Drug Discovery programs. Experience with design of experiments and applications to high throughput screens will be valuable in this role
• Find opportunities for Meta-Analysis and other Data Mining techniques, and then conduct them, to identify key results from a series of experiments to identify key conclusions from the gestalt of all experiments in the program and determine appropriate next steps the Project Team should prioritize to optimize progress. This will require knowledge of in-house data repositories, knowledge about publicly available data sources and repositories, and the ability to use appropriate data management tools to build the necessary datasets and then to conduct the analysis
• Develop and provide training courses on statistical methods for biologists, chemists, and other research staff
• Potential leadership and direction of contracted statistical analyst support
• Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
• Influence team members regarding appropriate research methods
• Perform peer-review of work products from other statistical colleagues

Communication of Results and Inferences:

• Collaborate with team members to write reports and…