Sr. Machine Learning Scientist – Medical Device

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Job date: 2017-05-27
End Date:

Company : Pilgrimage Search 

Country :

Role : Research Scientist 


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Job Description:
Our client is currently building a new team focused on applying Machine Learning techniques to Predictive Algorithm Development with the ultimate goal of helping patients that are at high risk for sudden cardiac arrest. This will be the first technical hire for the team and the intention is to build the Predictive Algorithm Development Group around this individual. The position will require relocation.

-Conduct applied research on predictive algorithms.

-Collaborate with teams of Physicians, Software Engineers, Data Scientists, and Machine Learning Specialists, among others, to identify needs, define requirements, and develop complete, fieldable solutions.

-Lead the development of system architectures for training, testing, and deploying machine learning models.

-Keep abreast of pertinent machine learning research by studying published work and attending conferences.

-Manage aspects of research and development projects including scope, resources, and schedule.

-Act as technical advisor to others in the R&D organization.

-Share development processes, tools, and best practices with the R&D organization.

-PhD level candidate preferred, MS considered in electrical engineering, computational biology, physics, mathematics, statistics, computer science, machine learning

-4+ years of experience in industry after receiving PhD degree.

-Expert in machine learning and signal processing algorithm development.

-Expert in Matlab, C/C++.

-Working knowledge of regression analysis, statistical estimation and signal detection theories.

-Experienced in implementing clustering algorithms, PCA analysis and Markov models.

-Familiar with data analysis and characterization of physical systems. Has the ability to model, simulate and validate dynamic systems.

-Strong team player who is flexible, adaptable and the ability to collaborate within a multidisciplinary organization.

-Ability to manage work within tight timelines.


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