Research Scientist, Institute for Disease Modeling - Limited Term Employee (18 months)
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As part of the Bill and Melinda Gates Foundation (BMGF), the Institute for Disease Modeling's (IDM) mission is to support global efforts to eradicate infectious diseases and achieve permanent improvements in health by developing, using, and sharing computational modeling tools and promoting quantitative decision-making. The IDM team is composed of research scientists and software developers who create advanced models of disease transmission, develop computational tools to inform global disease eradication policy, conduct statistical analyses of epidemiological and primary healthcare-related data to provide insights for programs and policy decisions, and identify and address critical knowledge gaps. IDM is a highly dynamic organization with a work environment that is defined by innovation and collaboration. As part of our work, we routinely collaborate with groups at the World Health Organization, UNAIDS, the Centers for Disease Control, PATH, ministries of health in low- and middle-income countries, as well as universities and research institutes across the globe.
We are currently looking for a Research Scientist to join the Institute of Disease Modeling's Data, Dynamics, and Analytics team for a ***limited term of 18 months*** to support our current projects!
In this role, we are seeking a candidate that is passionate about applying meticulous quantitative research and mathematical modeling to questions in parasite epidemiology and genetics. Our group is a cross-cutting research team within IDM working on developing models of malaria transmission, concurrent evolution of malaria parasite genetics, and the impact of sampling and sequencing technology to observe the system. This Research Scientist will simulate our current framework and contribute to the development of new model features for either the epidemiological or genetic model. They will work with peers to prioritize and implement model features and mechanisms to answer open questions about how parasite genetic features are related to malaria epidemiology and modes of transmission. This Research Scientist must have experience in dynamic, mathematical modeling, and infectious disease epidemiology.
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class researchers and non-profit organizations, and to contribute to more effective burden reduction and primary health strengthening strategies.
What You'll Do
- Advance and collaborate on modeling malaria transmission and genetics projects.
- Collaborate with other modelers and statisticians on the team to build models, conduct sensitivity analyses, and explore tradeoffs among possible interventions.
- Work closely with internal and external partners to understand the current policy and research program.
- Clearly communicate sophisticated research results through publications, conference and partner presentations, and collaborations with external, diverse partners.
- Travel may be required.
Your Experience, Skills and Abilities
- A Ph.D. in a quantitative field with experience in modeling and epidemiology.
- Two letters of recommendation from past or current management.
- A track record of published articles in peer-reviewed scientific journals. List of articles to be submitted with the application.
- A proven track record to work productively, independently, and as part of a team.
- Proficiency in at least one scripting language.
- Ability to develop and simulate dynamic, agent-based, and compartmental models.
- Attention to detail with a high standard for quality of work product.
- Must be highly self-motivated and passionate about providing outstanding results.
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.
Depending upon your work location, we may require proof of full vaccination against COVID-19 and any recommended booster doses. All employees based in the United States are to provide proof of full vaccination upon hire and any recommended boosters, subject to applicable laws.
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