Johnson & Johnson · 5 days ago
Senior Engineer, Machine Learning Research and Development
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Health CareMedical Device
Insider Connection @Johnson & Johnson
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 the 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 the design of experiments, investigations, transforming historical data to knowledge.
Define and develop the future of a modeling culture to enable development data collection, modeling for off-, at-, in-line applications as part of Digital Twin strategy.
Qualification
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Required
A minimum of a BS degree in a core science field, (biology, chemistry, engineering, physics, bioinformatics) or related with at least 7 years work experience; OR a MS or equivalent with at least 5 years of work experience; OR a PhD or equivalent with at least 2 years of work experience is required.
Experience in leading strategic modeling programs and delivering solutions is required.
Experience utilizing a strategic approach to apply the best modeling techniques and leverage recent literature is required.
Experience applying machine learning modeling to support biopharmaceutical industry 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 warehouses 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 a global organization is required.
Working knowledge of model verification and validation is required.
Preferred
Experience with agile and waterfall approach to SDLC is preferred.
Experience with collaboration tools is preferred. (Examples may include; JIRA, git, scrum, confluence).
Working knowledge of 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.
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%.
Company
Johnson & Johnson
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.
H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO· nyse:JNJ
Leadership Team
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