Healthcare Data Scientist, Machine Learning in Santa Ana, CA at Atos

Date Posted: 12/30/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Santa Ana, CA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    12/30/2019

Job Description

Atos SE (Societas Europaea) is a leader in digital services with pro forma annual revenue of circa € 12 billion and circa 100,000 employees in 72 countries. Serving a global client base, the Group provides Consulting & Systems Integration services, Managed Services & BPO, Cloud operations, Big Data & Cyber-security solutions, as well as transactional services through Worldline, the European leader in the payments and transactional services industry. With its deep technology expertise and industry knowledge, the Group works with clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation.

Atos is focused on business technology that powers progress and helps organizations to create their firm of the future. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and is listed on the Euronext Paris market. Atos operates under the brands Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, Unify and Worldline.

LOCATION:  San Diego, CA (Please note:  Must be local to San Diego, CA to be considered for this role.  Relocation packages not available for this position).

Description:

Provides technical direction, including both strategic and tactical planning, execution and support of strategies for the SCPMG Medical informatics group. The position entails developing machine learning approaches to address healthcare's triple aim: to improve the health of populations, to lower the cost of care, and enhance the care experience.

Essential Responsibilities:

  • Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.
  • Use statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care workflows.
  • Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases.
  • Use machine learning, statistical and programming skills to enable data analytics.
  • Drive informed decision-making and present findings to both technical and non-technical audiences.
  • Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact
  • Provide technical direction and mentor junior members of the Medical Informatics team.
  • Work closely with software engineers to facilitate model integration and deployment
  • Embrace a fast paced, collaborative environment dedicated to building atop cutting-edge technology.

Experience

  • Minimum five (5) years of experience in architecting and building scalable distributed systems, working in a fast-paced multidisciplinary environment, advocating innovative uses for data, including methodologies, techniques, and tools, working with Software Development Life Cycle (SDLC) and leading from conceptualization to production stage large-scale applications.

Education

  • Master's degree (MS) in computer science or related fields

Additional Requirements:

  • Experience with deep learning frameworks: e.g. Tensorflow, PyTorch.
  • Knowledge of classification and regression algorithms
  • Experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling.
  • Experience with time series analysis, discrete data modeling and feature engineering.
  • Expert knowledge of Python
  • Experience with SQL

Preferred Qualifications:

  • Experience with Java/C++
  • Experience with machine learning continuous integration and deployment
  • Experience with Tensorflow Serving 
  • Doctorate degree in computer science or related fields
  • Knowledge of healthcare terminology


Your Application
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