Principal Engineer, AI/Software Support

Job not on LinkedIn

🔥 15 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $117k - $201.3k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Johnson & Johnson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1886

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

Johnson & Johnson is a multinational corporation focused on innovating across multiple sectors of healthcare and medicine. With a commitment to redefining healthcare, the company merges science and technology to address complex diseases through its divisions in innovative medicine and medical technology. Its areas of focus include oncology, immunology, neuroscience, and specialty ophthalmology, as well as interventional solutions and orthopaedics. J&J is dedicated to advancing global health equity and environmental sustainability while fostering innovation, diversity, and inclusion in the workplace. The company strives to provide solutions that connect health and care for providers, patients, and communities worldwide.

📋 Description

• Serve as the senior software and AI technical expert for Cell & Genetic Medicines high-throughput screening capabilities • Define and implement scalable architecture connecting laboratory automation, analytical instruments, enterprise systems, scientific data, and user workflows • Build 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 • Identify and prioritize software and AI opportunities to improve organizational effectiveness, scientific productivity, operational efficiency, and decision-making • Translate experimental processes and scientific questions into intuitive, maintainable, and reproducible digital solutions • Organize and contextualize screening data, construct information, assay metadata, and analytical outputs • 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 cross-functional partnerships across Discovery Research, IT, Business Technology, and other groups • Align stakeholders, clarify expectations, and communicate decisions, risks, tradeoffs, and progress • Influence technical direction without direct authority • Mentor scientists and engineers in software engineering, data architecture, and responsible AI use • Travel approximately 10–15% to company sites, including Spring House, Pennsylvania, La Jolla, California, and Cambridge, Massachusetts

🎯 Requirements

• Bachelor’s degree in computer science, software engineering, data science, computational biology, bioinformatics, engineering, or a related technical field, with significant relevant industry experience • 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 ability to understand scientific workflows and translate user needs into scalable technical solutions • Excellent communication, stakeholder management, and relationship-building skills • Ability to manage projects and expectations across organizational boundaries • Ability to work effectively in highly collaborative, multidisciplinary teams • Ability to travel approximately 10–15% annually • Preferred: advanced degree • Preferred: experience supporting drug discovery, cell therapy, functional genomics, high-throughput screening, or laboratory automation • Preferred: experience integrating robotic systems, analytical instruments, and automated data-generation platforms • Preferred: familiarity with high-dimensional biological datasets, FAIR data principles, scientific metadata standards, data governance, and regulated or highly controlled technology environments • Preferred: experience developing scientific applications, visualization tools, knowledge systems, workflow orchestration, or AI agents • Preferred: hands-on experience with electronic laboratory notebook software, especially Benchling • Preferred: experience embedded in laboratory-facing organizations and partnering directly with experimental scientists

🏖️ Benefits

• Retirement plan (pension) • 401(k) savings plan • Long-term incentive program • Vacation – 120 hours per calendar year • Sick time – 40 hours per calendar year; 48 hours for Colorado employees; 56 hours for Washington employees • 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 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 period • Volunteer Leave – 32 hours per calendar year • Military Spouse Time-Off – 80 hours per calendar year • Inclusive interview accommodations • Remote work eligibility within the United States