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Principal Engineer, AI​/Software Support, Pooled Screening Core, Cell & Genetic Medicines

Job in Spring House, Montgomery County, Pennsylvania, 19477, USA
Listing for: 6084-Janssen Research & Development, LLC Legal Entity
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 117000 - 201000 USD Yearly USD 117000.00 201000.00 YEAR
Job Description & How to Apply Below
Location: Spring House

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

Job Function:
Discovery & Pre-Clinical/Clinical Development. Job Sub Function:
Biotherapeutics R&D. Job Category:
Scientific/Technology. All Job Posting Locations:
Remote (US), Spring House, Pennsylvania, United States of America.

Job Description

About Innovative Medicine:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at

We are searching for the best talent for Principal Engineer, AI/Software Support, Pooled Screening Core, Cell & Genetic Medicines to be remote in the US.

Purpose

Johnson & Johnson Innovative Medicine is seeking a Principal Engineer to serve as a senior, hands‑on technical leader within the CAR Screening & Lead Selection team (CSLS). This individual will design, build, and scale the software, data, and AI capabilities that support complex, high‑throughput cell therapy discovery across pooled and arrayed screening workflows. The Principal Engineer will partner with scientists, automation engineers, computational scientists, and technology teams to connect experimental design, laboratory execution, data capture, analysis, visualization, and decision‑making through scalable digital workflows.

The successful candidate will move fluidly between technical strategy and implementation, establish robust software architecture and engineering practices, and directly deliver production‑quality applications, APIs, data pipelines, computational tools, and AI‑enabled solutions.

The role is remote‑eligible within the United States and requires approximately 10–15% travel to company sites, including Spring House, Pennsylvania, La Jolla, California, and Cambridge, Massachusetts.

Responsibilities
  • Serve as the senior software and AI technical expert for Cell & Genetic Medicines high‑throughput screening capabilities, both pooled and arrayed.
  • Define and implement scalable architecture connecting laboratory automation, analytical instruments, enterprise systems, scientific data, and user workflows.
  • Build reliable applications, APIs, data pipelines, computational tools, and user‑facing visualization solutions for cell therapy discovery.
  • Develop and deploy AI‑enabled capabilities, including machine learning, generative AI, retrieval‑augmented generation, and agentic workflows, where they provide clear scientific or operational value.
  • Proactively identify and prioritize opportunities to apply AI or software solutions that improve organizational effectiveness, scientific productivity, operational efficiency, and decision‑making.
  • Translate complex experimental processes and scientific questions into intuitive, maintainable, and reproducible digital solutions.
  • Help organize and contextualize screening data, construct information, assay metadata, and analytical outputs to improve experimental planning, data quality, hit identification, candidate ranking, and knowledge capture.
  • Establish engineering best practices for architecture, development, testing, documentation, version control,…
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