Stanford University Department of Medicine Division of Infectious Diseases is seeking a post-doctoral researcher to work on the Stanford HIV Drug Resistance Database (HIVDB). This is a key position that will involve expanding a widely used international resource and performing systematic reviews and meta-analyses pertinent to the use of HIV treatment. HIV drug resistance testing is increasingly used in clinical, research, and public health laboratories worldwide to assist in the management of the greater than 20 million individuals receiving HIV therapy.
HIVDB has had an outsized effect on HIV drug resistance research because it combines the expertise of a few individuals with software technologies that scale to handle large numbers of user-defined queries or sequences submitted for interpretation. HIVDB is also a high-profile example of how aggregating raw data from many sources generates knowledge that cannot be obtained from individual studies.
We are using artificial intelligence, text-mining and crowd sourcing to transition HIVDB into a self-sustaining open resource for the community of clinicians, researchers, and public health laboratories that rely on the most up-to-date drug resistance data and knowledge. Your work will involve helping us make this transition and performing and publishing systematic reviews, meta-analyses, and potentially decision analyses pertinent to HIV treatment primarily in low and middle-income countries. Performing similar studies on other viral diseases is encouraged.
Applicants should be knowledgeable about HIV, genetic sequence analyses, and biomedical statistics. Proficiency in a programming language (ideally Python) and in a statistical programming language such as R are also required.
Interested candidates should submit a PDF file containing a cover letter describing their research experience and career goals, a CV, and a list of 2-3 references.