Principal Engineer, AI/Software Support, Pooled Screening Core

Job not on LinkedIn

🔥 0 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%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Johnson & Johnson

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💊 Pharmaceuticals

🧬 Biotechnology

Healthcare • Pharmaceuticals • Biotechnology

<Johnson & Johnson> is a global healthcare company that researches, develops, manufactures and markets pharmaceuticals, medical devices and consumer health products. The company focuses on innovative medicines and therapies across oncology, immunology, neuroscience and cardiopulmonary areas, and develops MedTech solutions in cardiovascular, orthopaedics, surgery and vision. Johnson & Johnson also engages in health & wellness education, large-scale manufacturing, investor activities and global social-impact initiatives.

📋 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 that 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 and cross-departmental 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 • Create a connected, data-driven screening environment that supports reproducible experiments and therapeutic candidate selection

🎯 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 in 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

• Consolidated retirement plan (pension) • Savings plan (401(k)) • Long-term incentive program • Vacation – 120 hours per calendar year • Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington • 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 period • Volunteer Leave – 32 hours per calendar year • Military Spouse Time-Off – 80 hours per calendar year • Remote work arrangement • Approximately 10–15% travel to company sites