Johnson & Johnson engages in the research and development, manufacture and sale of a range of products in the healthcare field.

Johnson & Johnson

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 MedTech, 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 jnj.com 
 
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. 
 
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 https://www.jnj.com/innovative-medicine 
 
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. 
 
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. 
 
 

Qualifications/Requirements 
 
Required 
 


* 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. 
 
 

What Success Looks Like 
 
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. 
 
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 
 
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. 
 
If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check. 
 
Required Skills 
 
Preferred Skills: 
 
The anticipated base pay range for this position is : 
 
$117,000.00 - $201,250.00 
 
Additional Description For Pay Transparency 
 
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). 
 
This position is eligible to participate in the Company’s long-term incentive program. 
 
Benefits 
 
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: 
 
Vacation –120 hours per calendar year 
 
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year 
 
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 the birth/adoption/foster care of a child 
 
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year 
 
Caregiver Leave – 80 hours in a 52-week rolling period10 days 
 
Volunteer Leave – 32 hours per calendar year 
 
Military Spouse Time-Off – 80 hours per calendar year 
 
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Software Development

Data

Automation

Spring

Security software

Support

Machine Learning

Data Science

Functional Programming

Amazon

Testing

Data Pipelines

Amazon S3

System security

Version control

Project management

Project documentation

Embedded Systems

Infrastructure

Analysis

Data governance

Web Development

Research

Communications

Stakeholder management

Data architecture

Computational Biology

Bioinformatics

Generative AI

Industrial Automation

Data Visualization

Scientific Computing

Robotics Engineering

Workflow

Knowledge Management

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