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Outset Medical // improving patient care experience
 
Engineering, Full Time    3052 Orchard Drive San Jose, California Headquarters    Posted: Thursday, September 09, 2021
 
   
 
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JOB DETAILS
 

Company Overview

Outset is a medical technology company pioneering a first-of-its-kind technology to reduce the cost & complexity of dialysis. The Tablo Hemodialysis System, FDA cleared for use from the hospital to the home, represents a significant technological advancement that transforms the dialysis experience for patients &  operationally simplifies it for providers. Tablo serves as a single enterprise solution that can be utilized across the continuum of care, allowing dialysis to be delivered anytime, anywhere & by anyone.  The integration of water purification & on-demand dialysate production enables Tablo to serve as a dialysis clinic on wheels, with 2-way wireless data transmission &  a proprietary data analytics platform powering a new holistic approach to dialysis care.  

Position Overview 

We are seeking a Data Scientist that can directly impact the experience of patients & clinicians as well as Outset business operations with their breadth of skills & can-do attitude. The candidate should bring a strong background ML/Data Science framework approach to problem solving & the ability to understand complex data systems. The candidate should be fluent in SQL , Python/R , ML model Building , deep Learning techniques & ability to build production ready predictive ML & Statistical models.

Essential Job Functions 

  • Leverage experience & knowledge of ML systems to build predictive models to help understand longevity of medical devices
  • Excellent Data Manipulation skills & ability to extract insights from multiple sources of data.
  • Participates in risk assessment, requirements definition, software architecture & detailed design, implementation, & software verification & validation.
  • Defines tasks associated with all phases of software development & provides accurate estimates of required effort & project completion dates.
  • Provides software engineering expertise for the continuous improvement of product & process.
  • Apply advanced deep learning techniques to solve complex machine failure problems
  • Collaborate with product management & engineering departments to understand company needs & devise possible solutions

Requirements/Qualifications 

  • PhD or Masters in Computer Engineering, Math , Statistics or equivalent.
  • Minimum of 3 years of relevant experience
  • Expert level understanding of machine learning techniques & algorithms, including clustering, anomaly detection, optimization, neural network, deep learning etc
  • Use proven exceptional analytical & problem-solving skills to solve business problems
  • Expertise with AWS, S3, Flink, Spark, Kafka, ElasticSearch
  • Previous work in a start-up environment is strongly desired
  • Advanced Python/R/SQL programming experience
  • Deep understanding of Deep Learning Frameworks such as PyTorch,Tensorflow.

 Other Skills/Abilities 

  • Possesses excellent interpersonal skills & can work effectively with a diversity of personalities. Must be approachable, show respect for others, & be able to present data effectively to different audiences.
  • High level of initiative with ability to self-manage, able to take calculated & bold initiatives to meet expectations while maintaining the ability to handle multiple projects & meet deadlines in a timely manner.
  • Flexible in daily schedule, tasks required & problem solving, while maintaining compliance with company policies & procedures.
 
 
 
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