The use of herbal dietary supplement (HDS) keeps growing in US, and so were the associated adverse reactions. Women were disproportionately reported with adverse events, including liver toxicity, caused by the HDS products. This project aims to identify genetic and nongenetic risk factor associated with increased susceptibility to herbal dietary supplement (HDS)-induced liver injury in women. The fellow will participate to conduct whole exome sequencing analysis for HDS-induced liver injury samples and other data retrieved from case reports in literature. Computational methods and text mining will be used to develop predictive models to assess risk of liver injury caused by HDS products for individual patients. This project is funded by the FDA’s office of women health. More detail about the research in Dr. Minjun Chen’s lab could be found @ Minjun Chen|FDA. We have multiple postdoctoral fellow opportunities available.
Doctoral degrees in bioinformatics, computational biology, mathematics, statistics, public health, chemical engineering, toxicology, systems biology/pharmacology, biophysics or related fields with an emphasis on modeling and scientific computing are qualified. A history of peer-reviewed publications is required.
A strong background in Python, R, or Matlab programming languages are preferred. Familiarity with the study of drug-induced liver injury is welcome but not required, and the capability to conduct scientific research independently is needed. The qualified candidate is required to physically stay in US for 3 years in the past 5 years.
The fellow will have opportunities to work with the FDA’s medical reviewers and collaborate with DILI experts in US and internationally. The fellow will be paid at a salary starting at $60K/year depending on experience with 12 days paid annual leave.
Tagged as: Computer Science, Engineering, Environmental Science, Life Sciences, Mathematics
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