Data Science Engineer - AI/ML/NLP Platform for Healthcare

Palo Alto, CA

Post Date: 05/23/2018 Job ID: 23178 Industry: Data Scientist
Category : Data Scientist
Location/City : CA - Palo Alto
Area Code : 650
Job Type : 1: Full Time
Country/Locale : USA
Id : 23178


Data Science Engineer - AI/ML/NLP Platform for Healthcare
Location: Palo Alto, CA

COMPANY
Our client is building a world class clinical AI platform that uses healthcare specific NLP and machine learning to generate healthcare insights to improve patient journeys. They aim to bring unprecedented scale and simplicity to healthcare by combining evidence based algorithms and big data architecture. Their use of NLP makes sense of a wide variety of structured and unstructured data that is stored in clinical workflows. By using scale and machine learning algorithms, clinical partners at all levels can derive meaningful and real-time insights from their data and intervene at critical junctures of patient care.
DATA SCIENCE ENGINEER
We challenge you to make a difference through innovation in advanced data analytics in the area of healthcare solutions and services. As the Big Data Scientist Healthcare, you will work with a growing team of data scientists developing new concepts, propositions, technologies and demonstrators that bring new insights from a combination of multiple healthcare data sources.
Responsibilities
Our Healthcare data analytics team focuses on innovative ways to extract new meaningful and actionable features from (Big) data. This is a multi-disciplinary effort, involving specialists in fields ranging from computer science and statistics to social science and medicine.
-You will apply your data analytics knowledge and experience in combination with your analytical and programming skills to services innovation, for example process modeling and transformation, operations and quality engineering, services systems, and/or applications, and optimization of operational aspects.

-You will help build and maintain collaborative relationships with scientific and academic organizations, and governmental resources.

-Ongoing Services projects include operational flow optimizations, patient population management, data-centric scenario modeling, services architecture, heuristic algorithms for gathering and processing massive amounts of data, etc.
Requirements
-Qualitative degree in Statistics, Computer Science, Engineering, or Data Science.

-Strong knowledge of machine learning algorithms (clustering, classification and regression), probability theory, and statistical analysis.

-Predictive modelling experience.

-Experience using one or more data analytics tools: R, Python, or MATLAB.

-Experience working with Big Data and strong knowledge of big data infrastructure (e.g., Hadoop, Hive, Spark, Elastic Search, AWS).

-Experience in using data exploration and visualization tools (e.g., Tableau, Splunk).

-Programming experience with C/C++/C# or Java.

-Expert skills in SQL.

-Experience in using Healthcare databases.


Jon Piggins / Redfish Technology
Director of Business Development
O: 208.788.8260
www.redfishtech.com
www.linkedin.com/in/jonpiggins/
Building Growth-Mode Tech Companies with Hand-Picked Talent Since 1996


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