Senior Engineer, Machine Learning Research and Development

What the role needs

• Spring House, Pennsylvania, United States of America Job 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
• May telecommute per company's policy (hybrid).
• Advanced therapies in science, development and production processes.
• Leading strategic modeling programs and delivering solutions.
• Utilizing strategic approaches to apply the best modeling techniques and leverage recent literature.
• Applying machine learning modeling to support biopharmaceutical industry.
• Programming languages including .net, Java, Perl, C++, Matlab, R, Julia or Python.

From the employer

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: R&D Product Development Job Sub Function: R&D Machine Learning Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job 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: