Senior Applied Scientist, Special Projects
Core
Building state-of-the-art ML models for healthcare to address big challenges and transform healthcare outcomes.
Role type
Senior Applied Scientist (Healthcare ML)
Builds
Production ML models and novel AI/ML solutions for complex healthcare challenges
Domain
Healthcare + Machine Learning
Deliverable
production ML models
Required skills
neural deep learning methods, machine learning, Java, C++, Python, translating research findings into practical solutions
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark), deep learning models for healthcare, designing novel NLP/ML architectures, causal inference techniques
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Design and implement novel AI/ML solutions, drive advancements in machine learning, balance theoretical knowledge with practical implementation, work closely with customers and partners, navigate ambiguity in early-stage product development, establish best practices for ML experimentation and deployment, partner with leadership to define roadmap
Seniority
Senior, hands-on IC with leadership responsibilities