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 ;br>
Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Engineering
Job Category:Scientific/Technology
All Job Posting Locations:Titusville, New Jersey, United States of America
Job Description:We are searching for the best talent for Senior Artificial Intelligence (AI) and Machine Learning (ML) Engineer in Business Technology to be in Titusville, NJ.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 ;br>
The Commercial Data Sciences team is looking for an extraordinary engineer who is passionate and knowledgeable about building end-to-end data science products to drive impact for patients and for Johnson & Johnson.
You will be responsible for:In this role, you will shape, build, and manage AI and ML initiatives across Johnson & Johnson Innovative Medicine. You will serve as a domain expert in AI/ML Engineering with a focus on end-to-end product engineering skills. You will focus on working on both well-established and burgeoning projects to help shape the software development lifecycle of data science products. This includes but is not limited to coding best practices, technical back-end support, CI/CD frameworks, and model monitoring. You will partner closely with cross-functional technical teams to ensure strong delivery. You will be a member of a highly collaborative and supportive team, which is part of a broader dynamic and accomplished organization that supports multiple therapeutic areas and commercial functions.
Come join us in our mission to transform the future of health!
Technical Leadership:- Play a key role in the AI-enabled transformation of Commercial engagement through personal and non-personal channels, and other high visibility projects that drive impact for patients and for J&J Innovative Medicine.
- Shaping and developing new AI, ML, and other Data Science initiatives across JJIM Commercial NA.
- Partner with senior leaders and peers across technology and business functions to shape new AI and ML solutions and operations.
Technical Responsibilities:- Serve as domain expert in implementing solid software development lifecycles for data science products.
- Create end-to-end AI/ML pipelines that integrate seamlessly into products through the product lifecycle - starting from proof-of-concept (POC) phase, moving into production, scaling, ongoing enhancements, and maintenance (ML Operations)
- Lead technical projects, taking end-to-end responsibility of ML solutions.
Talent Development:- Coordinate technical seminars, training sessions, and workshops focused on AI/ML to enhance the skills of data scientists, data engineers, and other technology professionals across the organization.
Qualifications / Requirements:- Ph.D. in a quantitative subject area such as software engineering, computer science, statistics, biostatistics, or supply chain. Or an equivalent educational background of M.S. with 3+ years or B.S. with 5+ years of experience of building AI/ML solutions.
- Experience in building end-to-end data products, taking products from POC stage through the full product life cycle including operationalization and scaling.
- Proficiency in one or more programming languages such as Python or R along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
- Experience in setting up, configuring, and managing CI/CD pipelines to ensure smooth and efficient software development workflows. Specifically working with frameworks such as Docker, Kubernetes, Helm, Jenkins, and Gitlab.
- Experience working in multiple software development frameworks such as Agile.
- Strong expertise in building and deploying machine learning models such as generalized linear regression, logistic regression, XGBoost, random forest, neural networks, NLP, GenAI or large language model (LLM).
- Validated experience shaping AI and ML solutions in close partnership with business stakeholders based on business needs.
Preferred Qualifications:- Proven success in applying Data Science and ML Engineering methods to solve Commercial problems in the Pharma Industry.
- Experience working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
- Experience working in cross-functional teams to deliver outstanding results.
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 and 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, please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.
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Required Skills: Preferred Skills:Advanced Analytics, Agility Jumps, Analytical Reasoning, Coaching, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Hybrid Clouds, Motivating People, Problem Solving, Process Improvements, Technologically Savvy
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