We study transmission dynamics using a combination of theoretical and empirical approaches to improve global health.
Multiple postdoc positions available in infectious disease dynamics and implications for control via the Infectious Disease Dynamics Group at JHBSPH.
Fellowship #1: Mathematical modeling of within-host dynamics and evolution of HIV including novel treatments
The Hill research group at Johns Hopkins University invites applicants for a postdoctoral fellow to contribute to the group’s work developing mathematical models and computational tools to better understand, predict, and control infectious diseases. We are seeking a motivated and creative PhD-level scientist with experience applying mathematics to biological systems. The successful applicant will become a part of two highly-collaborative multi-PI groups at the university: the Institute for Computational Medicine (https://icm.jhu.edu/) and the Infectious Disease Dynamics Group (http://www.iddynamics.jhsph.edu/).
The position focuses on a series of related projects studying the within-host dynamics and evolution of HIV, and the impact of new investigational therapies. This includes developing models to a) predict the outcomes and risk of drug resistance under new long-acting antiretroviral therapies for HIV treatment and prevention, b) characterize the efficacy of investigational antibody-based therapeutics for HIV, c) understand the mechanisms maintaining the latent reservoir for HIV, and d) identify potentially-beneficial therapeutic cure strategies for HIV, such as immunotherapy. The work involves both deterministic and stochastic modeling, and working with a variety of data types and collaborators around the world. The successful candidate will also be welcome to pursue independent research topics of mutual interest. The work is funded by grants from the National Institutes of Health and the Bill & Melinda Gates Foundation. More information about our current and previous research can be found at http://alsnhll.github.io/
The successful applicant should have a PhD in a quantitative field and some experience working on topics in biology, medicine, or public health. Example fields of training of former lab members include (but are not limited to) applied math, biophysics, epidemiology, systems biology, ecology/evolutionary biology, physics, and biomedical engineering. The ideal candidate would be able to follow projects through from conception to publication, be a strong writer, have experience presenting their work to scientific audiences from diverse fields, enjoy working collaborative, and be excited to mentor junior trainees. Programming skills (ideally in at least one of Python, R, or Matlab) are required.
The ideal start date of the position is as soon as possible, though start dates later in 2022 will also be considered. The duration of the position is also flexible based on the employee's performance and career goals, and can be renewed on an annual basis. Salary is competitive and commensurate with experience; comprehensive benefits including health insurance are provided to all postdoctoral fellows. The position is flexible with regards to remote work (within the US) in the near term.
Interested candidates should submit the following (in pdf form) to Dr. Alison Hill alhill [at] jhmi.edu:
A cover letter describing the applicant's research interests, educational background and previous research experiences, and career goals
A CV, which includes a link to a Google Scholar profile
Contact information for 3 references (will only be contacted after initial meeting with applicant)
Applications will be considered on a rolling basis and should be submitted as soon as possible.