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R&D Product Development

Engineer, Machine Learning Research and Development

  • Job Title Engineer, Machine Learning Research and Development
  • Function R&D Product Development
  • Sub Function R&D Machine Learning
  • Category Senior Engineer, R&D Machine Learning (ST6)
  • Location Spring House, Pennsylvania, United States; Malvern, Pennsylvania, United States
  • Date Posted
  • Requisition Number 2406191262W
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Description

Johnson & Johnson Innovative Medicine is currently seeking an 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 talents. This role requires skills to collaborate with scientists and seek opportunities where modeling can make valuable contributions by using model outcomes to drive robust biologics product and process design and optimization. Crafts and provides collaborative, fit for purpose machine learning and artificial-intelligence applications to enable data driven decisions. 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:

  • Build novel machine learning models focused to help development project teams deliver best process at launch.
  • Deliver solutions with user functionality to enable project teams to use models and consult with model builders.
  • Working with scientists, engineers, and IT architects to define user requirements for data blocks and build data pipelines to assemble, clean, coordinate, integrate, visualize, and interpret data needs for 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.

Qualifications

  • A minimum of a BS degree in a core science field, (biology, chemistry, engineering, physics, bioinformatics) or related with at least 4 years work experience; OR a MS or equivalent with at least 2 years of work experience; OR a PhD or equivalent with 0-1 year of work experience is required.
  • Experience in applied modeling to uncover solutions and drive decision making is required.
  • Experience utilizing a strategic approach to apply the appropriate modeling techniques and leveraging recent published content and literature to stay current is required.
  • Strong focus collaborating across global teams and excellent communication skills are required.
  • Advanced skills with one or more programming languages are required.  (Examples may include .net, Java, Perl, C++, Matlab, Julia or Python)
  • Experience wrangling and transforming high dimensional big data from established data warehouse is required.
  • Proficiency with statistics, algorithm design, understand model quality attributes is required.
  • Creative thinking, ability to generate new insights and concepts to drive data science in BioTherapeutics is required.
  • Experience with collaboration tools is preferred. (Examples may include; JIRA, git, scrum, confluence)
  • Experience in pharmaceutical development is preferred.
  • Experience with agile and waterfall approach to SDLC is preferred. 
  • Experience applying machine learning modeling to support biopharmaceutical industry is preferred.
  • Understanding, applications for LLM (Large Language Models) is preferred.
  • Experience in Azure or Amazon Web Services (AWS), and/or full-stack development is preferred.
  • Hands on experience and knowledge of Biologic Process, Molecular Biology, Biochemistry, Chemistry and working knowledge of GxP is preferred.
  • Working knowledge of model verification and validation is preferred.
  • Applied PAT and or in-line applications (Chemo-metrics, Raman spectroscopy) is preferred.
  • This position may be located in either Spring House, PA or Malvern PA, and may require domestic and international travel up to approximately 15%.

Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.  For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit  www.careers.jnj.com .


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