Job Description:
We are currently looking for a researcher with a background in big data visualization, safe machine learning, and public health to bring cutting edge research ideas & expert execution to the development of new data analytics that generates actionable & accurate information for the public health & health care industries. www.microsoft.com/premonition Qualifications:
Additional Info:
Emerging infectious diseases such as Zika, Ebola, Chikungunya and MERS are dangerous and unpredictable. Public health organizations need data as early as possible to predict disease spread and plan responses. Yet early data is very difficult to obtain, because it must be proactively collected from potential disease sources in the environment. Researchers estimate between 60 and 75% of emerging infectious diseases originate from animals, which are very difficult to monitor. Project Premonition aims to detect pathogens before they cause outbreaks - by turning mosquitoes into devices that collect data from animals in the environment. There are over 3,600 known species of mosquitoes, which bite a wide range of animals from dogs and chickens to snakes and mice. Each bite may collect a few microliters of blood, containing genetic information about the animal that was bitten and pathogens circulating in that animal. In fact, it has already been shown that the DNA collected from mosquitoes can be used to identify: (1) the types of animals that were bitten, (2) mosquito-borne diseases such as Zika and West Nile that infect both mosquitoes and hosts (e.g. humans and animals), and (3) previously unknown viruses of unknown origin. The Project Premonition team, part of the Healthcare NExT group with Microsoft?s Artificial Intelligence & Research (AR+R) organization, is an interdisciplinary team operating at the intersection of robotics, genetics, and machine learning to build disruptive pathogen surveillance technologies. [Click Here to Access the Original Job Post]
We are currently looking for a researcher with a background in big data visualization, safe machine learning, and public health to bring cutting edge research ideas & expert execution to the development of new data analytics that generates actionable & accurate information for the public health & health care industries. www.microsoft.com/premonition Qualifications:
- Ph.D. in Computer Science, Bioinformatics, Machine Learning, or a related field Preferred Qualifications
- Publication record or product implementation record that demonstrates a deep understanding of the challenges of using machine learn to generate trusted & actionable information.
- Background in public health, viral phylodynamics, or epidemiology.
- Experience in fusing data from many different sources to build holistic models
- A working knowledge of issues around program verification, model uncertainty, or safety critical / trusted systems
- Experience working with very large datasets
- Experience collaborating with interdisciplinary teams
- Humility and drive to be a "learn-it-all"
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Additional Info:
Emerging infectious diseases such as Zika, Ebola, Chikungunya and MERS are dangerous and unpredictable. Public health organizations need data as early as possible to predict disease spread and plan responses. Yet early data is very difficult to obtain, because it must be proactively collected from potential disease sources in the environment. Researchers estimate between 60 and 75% of emerging infectious diseases originate from animals, which are very difficult to monitor. Project Premonition aims to detect pathogens before they cause outbreaks - by turning mosquitoes into devices that collect data from animals in the environment. There are over 3,600 known species of mosquitoes, which bite a wide range of animals from dogs and chickens to snakes and mice. Each bite may collect a few microliters of blood, containing genetic information about the animal that was bitten and pathogens circulating in that animal. In fact, it has already been shown that the DNA collected from mosquitoes can be used to identify: (1) the types of animals that were bitten, (2) mosquito-borne diseases such as Zika and West Nile that infect both mosquitoes and hosts (e.g. humans and animals), and (3) previously unknown viruses of unknown origin. The Project Premonition team, part of the Healthcare NExT group with Microsoft?s Artificial Intelligence & Research (AR+R) organization, is an interdisciplinary team operating at the intersection of robotics, genetics, and machine learning to build disruptive pathogen surveillance technologies. [Click Here to Access the Original Job Post]