Job Description
About the Job
The laboratory of Curtis Hughey in the Division of Molecular Medicine, Department of Medicine aims to identify pathways within complex metabolic networks that can be used for early identification of disease or targeted to prevent or treat metabolic diseases. To accomplish this aim, studies combine the use of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will work on projects focused on gaining a mechanistic understanding of the impact of liver ketogenesis and regular exercise on the pathological progression of non-alcoholic fatty liver disease.
Specific duties include:
* Design and completions of experiments (75%)
* Communicate findings in written (i.e. manuscripts) or oral (i.e. presentations) formats (10%)
* Assist in planning and preparing research proposals for extramural funding (5%)
* Assist in training/supervising undergraduate and graduate students (5%)
* Participate in workshops and related activities for your own career development (5%)
About the Department
The Division of Molecular Medicine is a research-oriented division within the Department of Department of Medicine. Faculty members utilize physiological and molecular approaches to better understand and improve the health of individuals and communities. A particular focus of the division is the use of genetically-engineered mouse models to investigate human metabolic diseases.
Qualifications
Required Qualifications:
PhD in physiology, biochemistry, biology, chemistry, engineering, or related field
Demonstrated training in one or more of the following areas: metabolism and metabolic diseases, mouse models of disease, and mass spectrometry
Publication record that includes at least one first-author article
A strong willingness to acquire the preferred qualifications
Preferred Qualifications:
Documented experience with isotope tracers to assess metabolic pathways
Demonstrated knowledge of MATLAB
Proficiency in targeted metabolomics using gas chromatography-mass spectrometry
Pay and Benefits
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