Principal Data Engineer – Safety Analytics (Global Medical Safety)

Scorpion Therapeutics; Horsham (PA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Job summary

Johnson & Johnson in Horsham, PA, with hybrid/remote considerations, seeks a Principal Data Engineer to lead safety analytics initiatives. The role focuses on building advanced analytics tools using AI/GenAI on GCP, delivering scalable pipelines, APIs, and robust data governance.

You will partner with safety scientists, data scientists, and IT to enable predictive pharmacovigilance. Master's degree required with 5+ years of data engineering experience, and strong cloud and GxP compliance

Qualifications

• Master's in Computer Science, Engineering, or related field.
• 5+ years in data/analytics engineering.
• Proficiency in Python and SQL.
• Experience with cloud-based data architecture, APIs, microservices, and GCP preferred.
• Deep understanding of data modeling, validation, governance, and GxP compliance.
• Experience in regulated healthcare domains and AI/ML workflows including GenAI is advantageous.

Responsibilities

• Lead end-to-end data architecture for safety data.
• Design and optimize scalable data pipelines and ensure data quality and governance.
• Ensure compliance including GxP validation.
• Develop APIs and microservices for safety analytics.
• Implement infrastructure via Terraform and establish CI/CD pipelines.
• Collaborate with safety scientists, data scientists, and IT teams to enable predictive pharmacovigilance.

Skills

Python

SQL

APIs

Microservices

GCP

Education

Master's in Computer Science or Engineering

Tools

Google Cloud Platform (GCP)

Terraform

CI/CD pipelines

Job description

Role

Principal Data Engineer supporting Global Medical Safety within Johnson & Johnson's Innovative Medicine division. Focused on building and maintaining advanced safety analytics tools using AI, Machine Learning, and GenAI on Google Cloud Platform (GCP).

Responsibilities

lead end-to-end data architecture for safety data, design and optimize scalable data pipelines, ensure data quality, governance, and compliance including GxP validation; develop APIs and microservices for safety analytics; implement infrastructure via Terraform, and establish CI/CD pipelines. Serve as a technical leader collaborating with safety scientists, data scientists, and IT teams to enable predictive pharmacovigilance capabilities.

Requirements

Master's in Computer Science, Engineering, or related field; 5+ years in data/analytics engineering; proficiency in Python, SQL; experience with cloud-based data architecture, APIs, microservices, and GCP preferred.

Qualifications

deep understanding of data modeling, validation, governance, and GxP compliance; experience in regulated healthcare domains and AI/ML workflows including GenAI is advantageous.

Location

Horsham, PA or Titusville, NJ, with hybrid/remote considerations; travel not specified.

HighValue

healthcare analytics, pharmacovigilance, GCP, AI/ML, GxP validation, APIs, microservices, regulated pharma environment.