Function
Data Analytics & Computational Sciences
Sub function
Clinical Data Management
Category
Experienced Analyst, Clinical Data Management (P5)
Location
Irvine / United States of America
Date posted
Jun 10 2025
Requisition number
R-018109
Work pattern
Hybrid Work
This job posting is anticipated to close on Jun 24 2025. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
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 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 Studio Connect app development required.
• Expert with creating visualizations in Tableau required.
• Expert in operating very large data warehouses or data lakes such as AWS Redshift, Snowflake etc. required.
• Excellent verbal and written communication skills.
• Knowledge of GCP and SDLC is strongly desired.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

LI-Hybrid

LI-BF1

• 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