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

- **Company:** Johnson & Johnson
- **Location:** Spring House, PA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $117,000.0 - $201,250.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Bioinformatics, Computational Biology, Data Architecture, Data Governance, Data Visualization, Knowledge Management, Knowledge-Based Systems, Machine Learning, Metadata Standards, Software Architecture, Robotic Automation Software, Software Engineering, Software Systems, Workflow Management Systems, Enterprise Software Applications, Retrieval-Augmented Generation, Generative AI, Agentic-AI, Information Technology, Data Analytics, Data Management, Software Version Control, Data Pipelines
- **Published:** October 1, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3413470701&tx=JP8781FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in computer science, software engineering, data science, computational biology, bioinformatics, engineering, or a related technical field, with significant relevant industry experience; an advanced degree is preferred.
 * Extensive experience designing and delivering complex software systems in scientific, engineering, biotechnology, pharmaceutical, or similarly data-intensive environments.
 * Demonstrated experience integrating AI/ML or generative AI models into usable, production-quality software systems.
 * Experience using Amazon Web Services (AWS), including provisioning and managing compute instances and working with Amazon S3 buckets for secure data storage, access, and transfer.
 * Strong systems thinking and the ability to rapidly understand scientific workflows and translate user needs into scalable technical solutions.
 * Excellent communication, stakeholder management, and relationship-building skills, including the ability to manage both projects and expectations across organizational boundaries.
 * Ability to work effectively in highly collaborative, multidisciplinary teams and travel approximately 10-15% annually.

Preferred

 * Experience supporting drug discovery, cell therapy, functional genomics, high-throughput screening, or laboratory automation.
 * Experience integrating robotic systems, analytical instruments, and automated data-generation platforms with software and informatics infrastructure.
 * Familiarity with high-dimensional biological datasets, FAIR data principles, scientific metadata standards, data governance, and regulated or highly controlled technology environments.
 * Experience developing scientific applications, visualization tools, knowledge systems, workflow orchestration, or AI agents.
 * Hands-on experience with electronic laboratory notebook (ELN) software, especially Benchling, including integrating ELN workflows with scientific data platforms, laboratory systems, or automation.
 * Experience embedded in laboratory-facing organizations and partnering directly with experimental scientists.

## Description

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.

You will be responsible for:

 * 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, deployment, observability, security, and lifecycle management.
 * Build trusted cross-functional and cross-departmental partnerships across Discovery Research, IT, Business Technology, and other groups; align stakeholders, clarify expectations, and communicate decisions, risks, tradeoffs, and progress constructively.
 * Influence technical direction without direct authority and mentor scientists and engineers in software engineering, data architecture, and the responsible use of AI., Success means creating a connected, data-driven screening environment in which scientists spend less time moving and reconciling data, experiments are easier to design and reproduce, and software and AI capabilities help teams extract insights from large screening campaigns and select stronger therapeutic candidates. The Principal Engineer will provide the technical and collaborative foundation needed to scale pooled and arrayed screening, integrate emerging technologies, and make screening data an accessible organizational asset.


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