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Job Function:
R&D Product DevelopmentJob Sub Function:
R&D Machine LearningJob Category:
Scientific/TechnologyAll Job Posting Locations:
Spring House, Pennsylvania, United States of AmericaJob Description:
Employer: Janssen Research & Development LLC
Job Title: Senior Engineer, Machine Learning Research and Development
Job Code: A011.9806
Job Location: Spring House, PA
Job Type: Full-Time
Job Duties: Develop strategic roadmap and capabilities for applied AI/ML in Biopharmaceutical development. Build novel machine learning models focused on helping development project teams make best decisions from data. Deliver solutions with user functionality to enable project teams to use models and consult with model builders. Work with business functions and IT to develop data flow enabling data block generation supporting modeling. Advise project teams on data driven decision making including design of experiments, investigations, transforming historical data to knowledge. Collaborate with scientists and build roadmap and capabilities where modeling can be applied to enable faster, more robust biologics process development in the CMC space. Leverage experience in applied machine learning and artificial-intelligence applications to define opportunities for changing the way we work. Ensure output of models meet project teams needs and invigorates generation of intellectual property that solidifies and improves the company's ability to deliver and accelerates development to meet patient needs.
May telecommute per company's policy (hybrid).
Requirements: Employer will accept a Ph.D. degree in Science, Industrial Engineering and Operations Research, Data Science, (AI/ML) or related field and 2 years of experience in the job offered or in a Senior Engineer, Machine Learning Research and Development-related occupation.
Position requires experience in:
1. Advanced therapies in science, development and production processes.
2. Leading strategic modeling programs and delivering solutions.
3. Utilizing strategic approaches to apply the best modeling techniques and leverage recent literature.
4. Applying machine learning modeling to support biopharmaceutical industry.
5. Programming languages including .net, Java, Perl, C++, Matlab, R, Julia or Python.
6. Wrangling and transforming high dimensional big data from established data warehouses.
7. Statistics, algorithm design, and module verification and validation.
8. Applying agile and waterfall approach SDLC.
9. JIRA, git, scrum, or confluence.
10. Principle and application of LLM (Large Language Models).
11. Cloud platforms including Azure or Amazon Web Services (AWS), or full-stack development.
This job posting is anticipated to close on 11/3/2026.
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, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
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.
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
- This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.
- For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Required Skills:
Preferred Skills:
Skills Required
- Ph.D. degree in Science, Industrial Engineering and Operations Research, Data Science, Artificial Intelligence/Machine Learning, or a related field
- Two years of experience in the job offered or a related Senior Engineer, Machine Learning Research and Development occupation
- Experience with advanced therapies and science, development, and production processes
- Experience leading strategic modeling programs and delivering solutions
- Experience applying strategic modeling approaches and recent literature
- Experience applying machine learning modeling in the biopharmaceutical industry
- Experience with one or more of .NET, Java, Perl, C++, MATLAB, R, Julia, or Python
- Experience wrangling and transforming high-dimensional big data from established data warehouses
- Experience with statistics, algorithm design, and module verification and validation
- Experience applying Agile and Waterfall SDLC methodologies
- Experience with JIRA, Git, Scrum, or Confluence
- Knowledge of large language model principles and applications
- Experience with Azure, Amazon Web Services, or full-stack development
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
