Infectious Disease Dynamics

Projects

COVID-19 Our multi-faceted project focuses on response to the current COVID-19 coronavirus pandemic. The areas of interest range from health intervention tracking to contact tracing app development.
Cross-Sectional Incidence Testing Developing and validating testing algorithms to generate point estimates of HIV and HCV incidence.
Measles & Rubella Dynamics Working towards control, elimination, and eradication of two of the world's most infectious diseases.
Impetus The Impetus study aims to develop and extend statistical and modeling methodologies for spatial data.
Cholera Dynamics The Cholera Dynamics Project aims to study cholera transmission dynamics through mechanistic and statistical models using global incidence data.
Healthcare Epidemiology We work closely with the Johns Hopkins Hospital and other organizations to understand and combat healthcare acquired infections.
Emerging Diseases Dynamic modeling and real time analyses to respond to emerging disease threats.
Phylogenetic Study Design Developing methods to estimate informative sample sizes for phylogenetic studies.
Fluscape Characterizing the immune landscapes of human influenza in southern China.
HIV Dynamics We conduct highly interdisciplinary HIV research focused on the application of mechanistic models and molecular epidemiology to population-based cross-sectional and longitudinal survey data. Our efforts are largely concentrated in Sub-Saharan Africa.

Multiple postdoc positions available in infectious disease dynamics and implications for control via the Infectious Disease Dynamics Group at JHBSPH.

Fellowship #1: Malaria Genomic Epidemiology Postdoc (multiple positions)

A consortium of academic partners is inviting applications from highly motivated candidates for postdoctoral positions at the Experimental and Population-based Pathogen Investigation center (EPPIcenter) at UC San Francisco, Johns Hopkins Bloomberg School of Public Health, or a possible secondment at Imperial College. Ideal candidates with have experience with modeling and/or genomic analysis and will study the transmission of malaria and apply genomic use cases using data from a large malaria genomic epidemiology project in southern Africa. Successful candidates will have the option to be based at one of the three institutions in alignment with research interests and benefit from a rich and interdisciplinary research environment, working closely with Drs. Bryan Greenhouse (UCSF), Amy Wesolowski (JHBSPH) and Robert Verity (Imperial) as well as a diverse and international team of collaborators.

The fellow(s) will be expected to develop, optimize, and apply statistical and/or mathematical models using genetic, spatial, and epidemiologic data in order to further methods and implementation of malaria genomic use cases in southern Africa. These use cases include connectivity and importation as well as more established cases around drug and diagnostic resistance. Fellows will also work directly with regional and in-country partners and have a role to develop capacity and support a wide array of publications using these data. Our team is directly involved in all aspects of data generation and analysis including study design, supporting generation of laboratory data, methods development, modeling, communicating directly with malaria control programs and policy makers. The project is strongly focused on building research and technical capacity with local partners.

Competitive salary including full benefits will be provided commensurate with experience and qualifications, and the post offers ample opportunities for career development and independent work streams.

Essential Skills

PhD or equivalent in a relevant field
Experience in analysis/modeling of infectious diseases and epidemiology
Strong statistical and computational skills
Demonstrated ability to produce independent, creative work
Ability to work well as member of a team
Excellent written and oral communication skills

Helpful Skills

Ability to analyze and interpret next generation sequencing data
Background in laboratory genomics, ideally with some experience in pathogen genomics
Programming experience in R or Python
Experience in technical and computational capacity building
Experience in primary epidemiological data collection

To Apply:

Send a CV including publications, brief statement of research/career interests, and contact information for up to 3 references to Tiese Estim-Inyang (Tiese.Etim-Inyang [at] ucsf.edu).

Applications will be evaluated on a rolling basis with a final deadline of January 15th, 2023.

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Fellowship #2: 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.

We study transmission dynamics using a combination of theoretical and empirical approaches to improve global health.

Projects

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We study transmission dynamics using a combination of theoretical and empirical approaches to improve global health.

Projects

Latest @JHIDDynamics

Multiple postdoc positions available in infectious disease dynamics and implications for control via the Infectious Disease Dynamics Group at JHBSPH.