Senior Manager, Oncology Data and AI Systems

Johnson & Johnson

Quick summary

Work type
On-site
Location
Cambridge, MARaritan, NJTitusville, NJSpring House, PASan Diego, CA
Salary
$137,000–$235,750 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $186k
$122k most similar roles pay here $277k

This role pays less than 68% of similar roles. Most pay $170,746–$246,150 — the shaded band above. At the midpoint, this role pays about $186k versus about $208k 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 71 open roles on FindRole.

Listed pay typically runs $120,000–$201,250 across 68 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Manager, Oncology Data and AI Systems

The Senior Manager, Oncology Data and AI Systems role at Johnson & Johnson's Innovative Medicine division involves leading a team while also being hands-on in the design, development, and operation of scalable data and AI systems for Oncology R&D. This includes integrating diverse data sources into high-quality, reusable assets and collaborating with stakeholders to deliver business-critical use cases that accelerate decision-making and improve study execution. The role requires expertise in cloud-based technology platforms like AWS, proficiency in Python and SQL, and experience with various database technologies including NoSQL and graph databases. Ideal candidates will have a background in data engineering, particularly within the healthcare industry, and strong skills in analysis, problem-solving, and stakeholder management to ensure alignment with broader data product strategy across Data Science, Engineering, and Oncology domains.

What you'll do

  • Lead the end-to-end design and operation of scalable AI-enabled data products for Oncology R&D.
  • Integrate diverse data sources into high-quality, reusable AI-ready assets.
  • Shape and deliver business-critical use cases by translating complex needs into robust data products.
  • Design future-proof, AI-ready data systems aligned with Oncology Strategy using cloud-based technology platforms.
  • Develop and optimize data pipelines and AI workflows for structured and unstructured data.
  • Implement quality standards and measure KPIs to ensure accuracy and consistency in data products.
  • Mentor team members and lead the development of Agile practices and coding tools.

What we're looking for

  • 6+ years of data engineering experience with expertise in data modeling and database design.
  • Proficiency in Python, SQL, and cloud architecture technologies like AWS services.
  • Strong skills in analysis, problem-solving, project delivery, and stakeholder management.
  • Experience leading multi-disciplinary teams and managing external vendors effectively.
  • Ability to manage multiple projects simultaneously and prioritize work for maximum business value.
  • Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or related field.
  • Familiarity with healthcare data standards such as CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM.

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