At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Lilly's Biotechnology Center in San Diego is looking to expand its capabilities in systems biology research applied to immunology. We are looking for a highly motivated and agile scientist. Your contributions may include independently perform multivariate analysis of the innate and adaptive immune responses to identify key response indicators; analyze transcriptional profiles for differential gene expression characterization; analyze pathways to understand the biological functions behind the list of differently expressed genes; built prediction models for immune response by adopting classifications methods or deep learning methodology. Key responsibilities may include:
Investigate analysis and machine learning algorithms to develop genetic signature of innate immune response.
Collaborate with IG scientists develop and test hypothesis of novel mechanism of Immunogenicity.
Develop repeatable analysis pipeline for immunogenicity assessment
Collaborate with academic leaders, co-develop bleeding edge technology and advance Lilly’s pipeline.
Publish the work in peer-reviewed journals and present at key conferences.
PhD in Math, Computer Science, Statistics, Bioinformatics or related fields with research focus in one of the areas: Genomics analysis, statistics, machine learning, artificial intelligence
Expert knowledge of R and Python, Linux environment
Experience performing bioinformatics analysis using machine learning techniques such as Tensorflow, Nearest centroid, discriminant analysis via mixed integer programming etc.
Experience in using various pathway analysis tools, sequence analysis and microarray profiling analysis
Minor in Biology or Biochemistry is desired but not required
Experience utilizing AWS for cloud computing
Experience with Jupyter and RStudio notebook environments
This position is not permanent. It is for a fixed duration of two years with potential to extend annually for up to 4 years.
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
Lilly credits its exceptional employees for its successes, and knows the key to ongoing achievement lies in attracting and retaining the best people. A company rich in heritage, Lilly employs individuals, conducts research and markets products worldwide. By providing for the unmet needs of our customers through a continuous stream of innovation, we will outgrow all competitors.
Lilly earns consistent and wide recognition for creating an exceptional work environment:
Business Week magazine 50 Best Places To Launch A Career™
FORTUNE America’s Most Admired Companies™
FORTUNE 50 Best Companies for Minorities™
Working Mother 100 Best Companies for Working Mothers™
Industry Week magazine 100 Best-Managed Companies™