Clinical Data Engineer
Johnson & Johnson
Date: 1 week ago
City: Irvine, CA
Salary:
$76,000
-
$121,900
per year
Contract type: Full time
Johnson & Johnson is currently seeking a Clinical Data Engineer to join our Biosense Webster team located in Irvine, CA
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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/ .
For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world's most pressing healthcare challenges.
We know that the success of our business - and our ability to deliver meaningful solutions - depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential. At Johnson & Johnson, we all belong.
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.
Responsibilities
The anticipated base pay range for this position is $76,000 to $121,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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/ .
For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world's most pressing healthcare challenges.
We know that the success of our business - and our ability to deliver meaningful solutions - depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential. At Johnson & Johnson, we all belong.
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.
Responsibilities
- 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: mentor junior Data Engineers in best practices and collaborate on complex problem-solving projects. Qualifications:
- Bachelor's degree in computer science, Mathematics, Statistics, or related discipline with 2 years of work experience with ETL, Data Modelling, Data Architecture or Analytics, or a master's degree with at least 1 year of work experience with ETL, Data Modelling, Data Architecture or Analytics
- Expert-level skills in writing and optimizing SQL queries
- Working knowledge with Big Data technologies such as AWS services, Lambda, Glue, orchestration etc.
- Expert in data wrangling with R, Python and is experience with R Studio Connect app development
- Expert with creating visualizations in Tableau
- Working knowledge in operating very large data warehouses or data lakes such as AWS Redshift, Snowflake etc
- Excellent verbal and written communication skills
- Knowledge of GCP and SDLC is desired
The anticipated base pay range for this position is $76,000 to $121,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.
- Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
- Employees are eligible for the following time off benefits:
- Vacation - up to 120 hours per calendar year
- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year
- Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market
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