Principal Developer, Oncology Data & AI Systems

Johnson & Johnson

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Titusville, NJCambridge, MARaritan, NJSpring House, PASan Diego, CA
Salary
$117,000–$201,250 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $159k
$98k most similar roles pay here $296k

This role pays less than 87% of similar roles. Most pay $174,600–$254,750 — the shaded band above. At the midpoint, this role pays about $159k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 38 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 37 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Principal Developer, Oncology Data & AI Systems

Principal Developer, Oncology Data & AI Systems will join the Oncology R&D team to strengthen the AI-ready data foundation powering research and development. The role involves modernizing and standardizing data capture, translating scientific needs into engineering requirements, and designing scalable pipelines for high-quality, interoperable data. You will build and manage data products by integrating multi-modal information from biomarker labs, clinical trials, real-world evidence, and omics platforms to accelerate discovery. Key responsibilities include developing ETL/ELT processes, ensuring data governance, and implementing FAIR principles. The position requires proficiency in Python, R, SQL, and AWS services like Redshift, Glue, and Lambda, along with experience in relational, NoSQL, and graph databases. This role solves the challenge of creating trusted, reusable datasets to support advanced analytics, machine learning, and generative AI applications within the oncology research domain.

What you'll do

  • Identify and prioritize high-impact data, AI/ML, and GenAI use cases to accelerate scientific discovery in Oncology R&D.
  • Manage the end-to-end lifecycle of data products including architecture design, ETL/ELT development, and operational support.
  • Integrate multi-modal R&D data from clinical trials, biomarkers, and genomics into trusted, AI-ready datasets.
  • Translate complex scientific and clinical requirements into scalable engineering solutions and technical specifications.
  • Design and optimize data pipelines for structured and unstructured data using Python, R, SQL, and AWS services.
  • Implement robust data quality controls, automated monitoring, and performance metrics for all data products.
  • Establish data governance frameworks including lineage, metadata management, and versioning to ensure regulatory compliance.
  • Embed FAIR data principles into workflows to ensure data is findable, accessible, interoperable, and reusable.

What we're looking for

  • Bachelor’s Degree in Computer Science, Engineering, Life Sciences, or a related field.
  • Advanced degree (preferred).
  • 5+ years of experience in data engineering, including data modeling, schema design, and database architecture.
  • Proficiency in Python, R, and SQL for data processing, transformation, and automation across large datasets.
  • Experience designing and operating cloud-based data platforms, preferably on AWS services like Redshift, FSx, Glue, or Lambda.
  • Experience working with multiple data storage patterns including relational, NoSQL/unstructured, and graph data technologies.
  • Proven ability to lead cross-functional teams and manage stakeholder requirements into technical engineering plans.
  • Experience with healthcare data standards (preferred); exposure to high-dimensional data and MLOps (preferred).

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