Senior Engineer, Machine Learning Research and Development
About The Position
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.
Requirements
- 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.
- 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.
- Wrangling and transforming high dimensional big data from established data warehouses.
- Statistics, algorithm design, and module verification and validation.
- Applying agile and waterfall approach SDLC.
- JIRA, git, scrum, or confluence.
- Principle and application of LLM (Large Language Models).
- Cloud platforms including Azure or Amazon Web Services (AWS), or full-stack development.
Responsibilities
- 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.
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 (may vary by state)
- 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
- Medical
- Dental
- Vision
- Time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
