Senior Engineer, Machine Learning Research And Development

Johnson & Johnson Innovative Medicine is currently seeking a Senior Engineer, Machine Learning Research and Development to join our Data Integration and Predictive Technologies Team located in Spring House, PA or Malvern, PA.

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 https://www.jnj.com/ .

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world's most pressing healthcare challenges.

We know that the success of our business - and our ability to deliver meaningful solutions - depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.

At Johnson & Johnson, we all belong.

In this role you will work as an individual contributor possessing expertise in applied modeling applicable to biopharmaceutical development working in global and a diverse team of talent. This role requires skills to 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. Leverages experience in applied machine learning and artificial-intelligence applications to define opportunities for changing the way we work. Ensures output of models meets project teams needs and invigorates generation of intellectual property that solidifies and improves the company's ability to deliver and accelerating development to meet patient needs.

Key Responsibilities:

• Develop strategic roadmap and capabilities for applied AI/ML in Biopharmaceutical development.

• Build novel machine learning models focused to help 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.

• Working 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.

• Define and develop future of a modeling culture to enable development data collection, modeling for off-, at-, in-line applications as part of Digital Twin strategy.