Johnson & Johnson Innovative Medicine
Sr Scientist, AI/ML for Drug Discovery
Johnson & Johnson Innovative Medicine, Raritan, New Jersey, us, 08869
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.
Senior Scientist – AI/ML for Drug Design – Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine
This is a hybrid role. The primary location for this position is High Wycombe, UK. However, candidates located in Belgium, Netherlands, Germany, Switzerland, the United States (New Jersey or Pennsylvania) and remote work from anywhere in the world may also be considered. The Data Science Analytics & Insights team at Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
Key Responsibilities
Conceive, develop, and implement AI/ML solutions applied to drug design problems, including molecule structure generation/prediction and molecular property prediction.
Work closely with a cross‑disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications.
Participate in cross‑functional collaborations with external companies, academia, and internal scientific and data science teams.
Extensive hands‑on coding and actively contribute to platform development.
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making findings through peer‑reviewed publications and/or scientific conferences.
Qualifications
Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics or related majors.
Extensive experience with Geometric Deep Learning and Language Modeling is required.
Strong background in artificial intelligence / machine learning with an established track record (publications in top‑tier conferences/journals, awards, patents, white papers).
Proficiency with one or more programming languages such as Python or C++ and AI frameworks such as PyTorch or TensorFlow.
Excellent written and verbal communication skills.
Ability to work independently and as part of a team.
Familiarity with and exposure to drug discovery and clinical development processes is a plus.
Hands‑on technical data analysis, cloud computing (AWS, Azure) and dockerization is a plus.
Training Opportunities
Gain experience working in the pharmaceutical industry.
Navigate and work within a matrix environment.
Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications.
Employee Benefits
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 .
For additional general information on company benefits, please go to
https://www.careers.jnj.com/employee-benefits .
Internal Job Posting from 09.10.2025 until 26.10.2025 PG26
#J-18808-Ljbffr
Senior Scientist – AI/ML for Drug Design – Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine
This is a hybrid role. The primary location for this position is High Wycombe, UK. However, candidates located in Belgium, Netherlands, Germany, Switzerland, the United States (New Jersey or Pennsylvania) and remote work from anywhere in the world may also be considered. The Data Science Analytics & Insights team at Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
Key Responsibilities
Conceive, develop, and implement AI/ML solutions applied to drug design problems, including molecule structure generation/prediction and molecular property prediction.
Work closely with a cross‑disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications.
Participate in cross‑functional collaborations with external companies, academia, and internal scientific and data science teams.
Extensive hands‑on coding and actively contribute to platform development.
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making findings through peer‑reviewed publications and/or scientific conferences.
Qualifications
Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics or related majors.
Extensive experience with Geometric Deep Learning and Language Modeling is required.
Strong background in artificial intelligence / machine learning with an established track record (publications in top‑tier conferences/journals, awards, patents, white papers).
Proficiency with one or more programming languages such as Python or C++ and AI frameworks such as PyTorch or TensorFlow.
Excellent written and verbal communication skills.
Ability to work independently and as part of a team.
Familiarity with and exposure to drug discovery and clinical development processes is a plus.
Hands‑on technical data analysis, cloud computing (AWS, Azure) and dockerization is a plus.
Training Opportunities
Gain experience working in the pharmaceutical industry.
Navigate and work within a matrix environment.
Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications.
Employee Benefits
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 .
For additional general information on company benefits, please go to
https://www.careers.jnj.com/employee-benefits .
Internal Job Posting from 09.10.2025 until 26.10.2025 PG26
#J-18808-Ljbffr