Postdoctoral Fellow- Pharmacology

Applicants must have a PhD in Structural Biology, Computational Biology, Biochemistry, Biophysics, or a closely related field. Candidate should independently be able to perform Molecular Dynamics Simulations on proteins and analyze protein structures using multiple approaches, including, but not limited to graph theory networks. There is tremendous opportunity to learn/harness wet-lab skills in protein chemistry, molecular biology and X-ray crystallography outside the defined lines of computational work. Experience working on Protein Kinases/Phosphatases is desired but not mandatory.
 

Job Duties -

•    Generate data and maintain accurate laboratory records.  (35%)

•    Present results in individual and group meetings and local, regional, national and international meetings.  Publication of results in leading scientific journals. (35%)

•    Work closely with PI to develop research grant proposals. (15%)

•    Assist with daily maintenance of laboratory, training and supervision of technical staff, graduate students, and other laboratory personnel. (15%)

Write to the PI directly at ahujal@musc.edu

Postdoctoral Fellow- Structural Biology

Applicants must have a recent PhD in Biochemistry, Biophysics, Structural Biology or a closely related field. The candidate is expected to be proficient in protein expression and purification. The candidate should also have expertise in protein crystallization and structure solution. Knowledge of assay development and MD simulations will be a plus. Interested candidates should email a CV, Cover letter and names of three references to Dr. Ahuja at ahujal@musc.edu

Job Duties -

•    Generate data and maintain accurate laboratory records.  (35%)

•    Present results in individual and group meetings and local, regional, national and international meetings.  Publication of results in leading scientific journals. (35%)

•    Work closely with PI to develop research grant proposals. (15%)

•    Assist with daily maintenance of laboratory, training and supervision of technical staff, graduate students, and other laboratory personnel. (15%)

Write to the PI directly at ahujal@musc.edu