Clinical Data Engineer - Biosense Webster, Inc.

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Clinical Data Management

Job Category:
Professional

All Job Posting Locations:
Irvine, California, United States of America

Job Description:

We are searching for the best talent for a Clinical Data Engineer to be based in Irvine, CA.  This role will work a Flex/Hybrid schedule with 3 days per week on-site.

Purpose: The Clinical Data Engineer is responsible for expanding and optimizing device data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The Data Engineer supports Data Managers, Statisticians, and Data Scientists on data initiatives and will ensure optimal data delivery for ongoing clinical objectives.

Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

The right candidate will be excited by the prospect of optimizing our data architecture to support our next generation of products and data initiatives and contributes towards the best practices for cloud-based data analytics.

You will be responsible for:     


* Improve data quality: Implement methods to improve data reliability and quality.


* Convert raw data: Collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret Clinical data.


* Develop database architecture: Develop and maintain the database architecture and data processing systems.


* Test and maintain data infrastructure: Architect, build, test, and maintain the data infrastructure using cloud-based systems.


* Implements the AI/ML models and assists Data Scientists or Statisticians in model fitting or other optimizations related to data quality.


* Work under guidance of a lead engineer and contributes to the best practices and collaborate on complex problem-solving projects. 

Qualifications / Requirements:


* Bachelor’s degree in computer science, Mathematics, Statistics, or related discipline required; Advanced Degree strongly preferred.


* Minimum 3+ years of work experience with ETL, Data Modelling, Data Architecture or Analytics (1-2 years with Advanced Degree).


* Expert-level skills in writing and optimizing SQL queries required.


* Expert with Big Data technologies such as AWS services, Lambda, Glue, orchestration etc.

required.


* Expert in data wrangling with R, Python and is experience with R...