Training

Inspiring and developing the next generation of scientists is core to our mission. We do this locally and internationally through invested mentorship, a focus on scientists at all levels, and by creating a dynamic interdisciplinary environment where we all learn from each other. Applicants representing historically underrepresented backgrounds are encouraged to apply.

SEEKING Postdoc Malaria genomic epidemiology -lab focus

The EPPIcenter at UC San Francisco is seeking a talented scientist with a laboratory background to study the transmission and immunity of malaria using genomic and epidemiologic data. The successful candidate will be immersed in the multidisciplinary research environment of the Experimental and Population-based Pathogen Investigation center (EPPIcenter.ucsf.edu) and work closely with Drs. Bryan Greenhouse and Isabel Rodriguez-Barraquer along with a diverse team of scientists at UCSF and international collaborators.

SEEKING Postdocs Malaria Genomic Epidemiology -analytic focus

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.

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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 [email protected] withe the subject line Malaria Genomic Epidemiology -analytic focus

SEEKING Postdocs Infectious diseases epidemiology and modeling

Recruiting post-docs who will work on highly interdisciplinary projects on infectious disease epidemiology and dynamics. We are seeking to hire highly motivated and independent post-doctoral scholars to join the EPPIcenter (Experimental & Population-based Pathogen Investigation Center) at the University of California, San Francisco, with Drs. Bryan Greenhouse and Isabel Rodríguez-Barraquer. The goal of our research center is to understand complex infectious disease dynamics by integrating state-of-the-art data collection, molecular technologies, and computational analysis. Our interdisciplinary approach provides novel insight into the targeting of interventions to reduce and ultimately
eliminate infectious disease burden.

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Our portfolio includes many projects in infectious diseases that have translated into policy change and practice, including in the fields of malaria, dengue, neglected tropical diseases, and COVID-19. We work closely with policy organizations like the World Health Organization, California Department of Public Health, and Ministries of Health to ensure our research translates to improvements in human health. Our group provides a diverse and vibrant collaborative team environment with an emphasis on mentorship and career development.

Projects involve development of mathematical and statistical models to analyze complex datasets (epidemiological and molecular) to answer questions in infectious disease epidemiology, development of immunity, control strategies and public health decision making.

Example projects/research areas include:
- Developing and extending computational methods to reconstruct transmission networks and otherwise derive epidemiologically relevant information on malaria transmission from genetic, spatial, and epidemiologic data
- Developing analytical pipelines for serosurveillance using novel multiplexed serological assays (with a focus on malaria and arboviruses)
- Reconstructing emergence and transmission dynamics of arboviruses
- Characterizing the development of strain specific immunity to malaria in the context of detailed longitudinal studies using genomics and high-throughput serological assays
- Developing strategies for multi-pathogen disease intelligence, including emerging infectious diseases, in LMICs

Candidates interested in working on computational infectious disease research with a strong quantitative background are highly encouraged to apply.

Essential Skills

-PhD in epidemiology, statistics, math, physics, engineering, computational biology, computer science, ecology, public health, or related quantitative field. Exceptional predoctoral candidates with proven quantitative skills will also be considered.
- Strong programming skills in at least one relevant languages, e.g., R, MATLAB, Python.
- Strong quantitative skills, including statistical modeling, dynamic modeling, decision science, simulation, biostatistics, and basic mathematics.
- Ability to work independently and execute research projects with minimal supervision.
- Excellent communication skills, e.g., data visualization, writing.

Preferred

Prior background in epidemiology, ecology, population health measurement, and/ or infectious diseases

To Apply

Send a CV including publications, brief statement of research/career interests, and contact information for 3 references to [email protected] withe the subject line Infectious diseases epidemiology and modeling

SEEKING Postdoc/Research Scientist Modeling public health policies in infectious diseases

We are recruiting for one full time position, either a post-doctoral scholar or research scientist, who is interested in working on computational public health research related to infectious diseases. The project would focus on developing computational models to improve infectious disease surveillance, control strategies, and public health decision making. There are many ongoing projects related to COVID-19, hepatitis A, and neglected tropical diseases.

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The research group of Dr. Nathan Lo at UCSF uses computational modeling to inform and change public health policy in global infectious diseases. We mix fields of statistical modeling, simulation, epidemiology, and genomics to guide pressing policy issues. Past projects have included mathematical modeling of new World Health Organization guidelines for treatment of parasitic worm infections that affect 1.5 billion of the world’s poorest people, simulation of asymptomatic testing strategies for control of COVID-19 during the pandemic, outbreaks in vulnerable populations such as detained migrants, and work on guidelines for vaccine-preventable infectious diseases such as typhoid fever and measles. We have published in the top journals (Lancet and JAMA journals, PNAS, NEJM) and have been featured in media outlets (New York Times, The Guardian). Our track record includes many projects in infectious diseases that have translated into policy change and practice, including in the fields of neglected tropical disease and HIV. We work closely with policy organizations like the World Health Organization and the California Department of Public Health to ensure our research translates to improvements in human health. Our group works in a collaborative team environment, both within our research group and also as part of the UCSF EPPIcenter program, a dynamic team of basic science and computational scientists focused on understanding infectious diseases.

The position requires the following:
• PhD in epidemiology, statistics, engineering, computational biology, computer science, or related field. Highly qualified applicants with Bachelor's or Masters degree may apply.
• Strong programming skills in at least one of the following languages (R, MATLAB, Python)
• Strong quantitative skills, including statistical modeling, decision science, simulation, intermediate biostatistics, and basic mathematics
• Knowledge of epidemiology and population health measurement
• Ability to work independently and execute research projects with minimal supervision
• Excellent communication skills (e.g. data visualization, writing)

You will work in the research group of Dr. Nathan Lo (http://profiles.ucsf.edu/nathan.lo) in the Division of HIV, Infectious Diseases, and Global Medicine at UCSF. Our research group is part of the UCSF EPPIcenter program. Competitive salary including full benefits will be provided commensurate with experience and qualifications. The start date of the position is flexible, and applications are considered on a rolling basis.

To Apply:

Please send a CV including publications, brief statement of research/career interests, and contact information for 3 references to [email protected] with a subject line indicating your preferred project. We are always looking for excellent candidates! Positions are open until filled, apply promptly.

Drs Greenhouse & Rodruiguez drawn as Simpsons characters