Janssen Research & Development, L.L.C., a Johnson and Johnson Company, is recruiting a postdoctoral fellow in the Systems Pharmacology & Biomarkers Team (Springhouse, Pennsylvania, USA).
Janssen Research & Development, L.L.C. develops treatments that improve the health and lifestyles of people worldwide. Research and development areas encompass novel targets in neurologic disorders, gastroenterology, oncology, infectious disease, diabetes, hematology, metabolic disorders, immunologic disorders, and reproductive medicine. For more about Janssen Pharmaceuticals, Inc., one of the Pharmaceutical Companies of Johnson & Johnson, please visit http://www.janssenpharmaceuticalsinc.com.
The Systems Pharmacology & Biomarkers a department in the Immunology therapeutic area is seeking a highly motivated postdoctoral researcher to develop analysis methodologies for high content datasets from clinical trials focused on inflammatory bowel diseases. In particular the candidate will be working with various ‘omics’ data sets including microbiome data. This is a joint project between Janssen R&D and Dr. Hongzhe Li, Professor of Biostatistics and Statistics Chair, Graduate Program in Biostatistics University of Pennsylvania. The candidate, initially home-based at Springhouse, will be mentored by investigators from Janssen R&D and Dr. Hongzhe Li and the research work will be performed at both sites. This position presents a unique opportunity to the candidate to carry out research in both academic and pharmaceutical research environments, benefitting from daily interactions with the group of established advisors with diverse experiences. The project will focus on determining the specific microbial community alterations encountered in different groups of patients such as clinical responders and non-responders whether placebo or drug treated. It will also seek to identify microbial community patterns correlating with molecular biomarkers differentiating clinically relevant patient groups in particular finding microbial and molecular determinants which individually or in combination correlate or even predict treatment efficacies or absence thereof.
The successful candidate will meet the following requirements: