Medical Affairs Data Jobs

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1mo ago

Principal Data Engineer – Safety Analytics (Global Medical Safety)

Johnson & Johnson Horsham, PA

Horsham, PA

1mo ago

$102k - $177k/yr Full time Analytics Artificial Intelligence Big Data

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Job Description

A Principal Data Engineer leads safety analytics data engineering for Global Medical Safety, building scalable tools with AI, ML, and GenAI on Google Cloud Platform to support pharmacovigilance efforts.

Responsibilities

Design and maintain production data pipelines and curated datasets that enable pharmacovigilance activities, including safety monitoring, analytics, and regulatory reporting.

]Ensure outputs are reproducible, explainable, and auditable to support safety decision making and inspection readiness.

Enable AI, ML, and GenAI workflows for safety analytics, covering feature engineering and feature stores, embeddings and semantic retrieval, and Retrieval-Augmented Generation patterns.

Own the end-to-end data lifecycle for safety analytics from source system intake through transformation, serving, and downstream consumption, ensuring continuity, traceability, and data integrity.

Lead architectural decisions across ingestion, transformation, storage, and serving layers on GCP using tools like BigQuery, Dataform, and object storage.

Design, implement, and automate scalable, reusable data pipelines and architectures to address evolving safety analytics needs.

Establish and enforce data quality, validation, lineage, and observability standards for safety analytics datasets.

Define and implement data governance practices, including data contracts, schema versioning, access control, stewardship, and lifecycle management.

Ensure safety analytics data and systems meet Global Medical Safety requirements for reliability, auditability, and regulatory use.

Apply GxP validation expertise to data pipelines, analytics services, and supporting infrastructure.

Collaborate with quality and compliance teams to implement CSV/CSA-aligned controls, audit trails, documentation, and organizational change.

Balance rapid delivery with the rigor required for regulated pharmacovigilance systems.

Design and build APIs and microservices to operationalize safety analytics and ML capabilities, including feature serving, retrieval services, and analytics backends.

Deploy and operate services on GCP with emphasis on security, scalability, and observability (Cloud Run, GKE).

Enforce contract-first integration patterns between producing and consuming systems to ensure reliability and safe evolution.

Provision and manage cloud infrastructure using Terraform (Infrastructure as Code) on GCP.

Build and maintain CI/CD pipelines for data pipelines, analytics services, feature pipelines, and ML data assets (e.g., Jenkins).

Continuously optimize performance and cost efficiency of data and analytics infrastructure while maintaining compliance and reliability.

Serve as the technical authority and data engineering leader for Safety Analytics within Global Medical Safety.

Review and influence designs across pipelines, services, feature stores, and AI/ML integrations to uphold a high technical standard; collaborate with safety scientists, epidemiologists, biostatisticians, analytics teams, IT, and platform partners.

Communicate complex technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.

Mentor and upskill teams through guidance and knowledge sharing on modern data, cloud, and AI technologies.

Requirements

Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience, is required.
Minimum of 5 years of data engineering experience.

Technologies

Python
SQL
Google Cloud Platform (GCP)
BigQuery
Dataform
Terraform
Jenkins
Cloud Run
GKE

Compensation

Base annual pay range: USD 102,000 – 177,100

Location and work arrangement

Location: Horsham, PA, onsite. Preferred location: Horsham, PA or Titusville, NJ. Remote work considered on a case by case basis.

Benefits

Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation: 120 hours per calendar year
Sick time: 40 hours per calendar year; 48 hours (Colorado residents); 56 hours (Washington residents)
Holiday pay, including floating holidays: 13 days per calendar year
Work, personal and family time: up to 40 hours per calendar year
Parental leave: 480 hours within one year of birth/adoption/foster care
Bereavement leave: 240 hours for immediate family; 40 hours for extended family per year
Caregiver leave: 80 hours in a 52-week rolling period
Volunteer leave: 32 hours per calendar year
Military spouse time-off: 80 hours per calendar year

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