Lead Data Engineer, Safety Analytics & AI on GCP

Scorpion Therapeutics

Horsham (PA)

Hybrid

USD 140,000 - 210,000

Full time

12 days ago
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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

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

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