Career Center

- 10% Review literature relating to research projects and assist in writing publications, summary reports, and research grants
- 10% Training and supervising undergraduate and pre-doctoral researchers
- 10% Perform molecular analyses including PCR, quantitative RT-PCR, DNA extraction, molecular cloning of influenza reverse genetics constructs, CRISPR/Cas9, primer design.
- 40% With oversight from PI, design and execute complex, multi-step experiments, trouble-shoot protocols, interpret findings and prepare data for publication in an assigned area to aid in the solution of a research problem.  The primary focus of this project will understanding effects of microbiome on influenza susceptibility in a primary bronchial epithelial-respiratory microbiome co-culture model. An experimental approach will be formulated based on existing knowledge of the field, review of  relevant literature, contacting other researchers in the field and collaboration with other labs.
- 20% Analyze and interpret microbiome and viral infection data from longitudinal observational study
-10% Duties as assigned

Independence and decision making: Solves complex research related work assignments with working knowledge of the field and minimal guidance; likely to act as an informal resource for colleagues with less experience

Required Qualifications:

- Ph.D degree within a biomedical or computational biology field.
- Experience with standard mammalian tissue culture techniques
- Experience with standard molecular biology techniques e.g. PCR, quantitative PCR, DNA extraction
- Experience with publication and presentation of data in multiple forms, including manuscripts and grant submission
- Experience mentoring trainees including undergraduates, medical students, and/or PhD students in the conduct of research

Preferred Qualifications:

- Foundational knowledge of microbiology, virology and human immunology
- Experience with culture of primary cells
- Experience with influenza virus culture and reverse genetics systems
- Experience with flow cytometry
- Experience with use and/or development of data analysis and/or data visualization tools including R and Python
-  Working knowledge of “omics” analysis pipelines with specific focus on microbiome data
- Strong organizational skills
- Strong written and verbal communication skills