The Scripps Research Institute is currently seeking an experimental Postdoc for the Andersen Lab working in the Department of Immunology and Microbiology. The successful candidate will join an interdisciplinary team of scientists, biologists, clinicians, and computational scientists to apply experimental and computational tools to advance the state of the art in quantitative infectious disease research. We are looking for a dedicated individual who will help us transform medicine with a direct impact on global health.
The Andersen lab is working on diverse projects using computational genomics approaches and high-throughput experiments to study emerging viruses and the outbreaks the cause, including Lassa, Ebola, West Nile, and Zika. We use an integrated approach of fieldwork in West Africa, technology development, and computational biology to investigate these viruses.
We are looking for a (primarily) experimental postdoc to lead new exciting systems biology projects focused on identifying host and virus genetic factors determining outcomes from Lassa and Ebola virus infections. This position is part of a larger initiate with the recently established Center for Viral Systems Biology (https://cvisb.org/).
Tasks will include:
- Develop new technologies to better sequence and analyze viruses from different sample types.
- Perform independent experimental research exploring pathogen causality in human patients.
- Conceive and implement assays and work with computational biologists to translate these models into testable experiments; analyze the data produced from these experiments.
- Oversee and coordinate sample collections from patients in Sierra Leone. For interested candidates, fieldwork in Sierra Leone is also a possibility.
- Programming skills in scripting languages such as Python/Perl, and analysis tools like MATLAB/R not required, but would be a plus.
- Strong interpersonal skills and the ability to work with and mentor junior scientists and students.
- Ph.D. in molecular biology, virology, RNA biology, or similar is required.
- Experience with next-generation sequencing datasets highly desired.
- Experience with computational data analysis using ‘Big Data’, including knowledge of statistical concepts is a plus.