Job Specifications
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.
Job Function
Data Analytics & Computational Sciences
Job Sub Function
Data Science
Job Category
Scientific/Technology
All Job Posting Locations:
Beerse, Antwerp, Belgium, Madrid, Spain, Spring House, Pennsylvania, United States of America, Toledo, Spain
Job Description
Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery. The preferred location for this position is our R&D site in Beerse, Belgium, but we will also consider location in our R&D site in Springhouse, PA, USAR&D sites in Spring House, PA. The position offers the possibility for hybrid work with a 3 day on campus expectation.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
Within IM R&D, the Therapeutics Discovery organization is continuing to build the key scientific expertise to bring ground-breaking new medicines to patients; we invest in medicinal chemistry, screening, and pharmacology, and in the computational and data science fields that inspire and inform them.
Many aspects of the drug discovery process are being partially virtualized: modelling methodologies, prescreen of existing or virtual molecules for relevant properties, and focusing experimental bandwidth to make and test those molecules that hold the most promise.
The Senior Scientist will invent, internalize, and apply creative yet scientifically sound data science solutions to virtually assess molecules in the broadest possible sense. The position’s scope includes methodological innovation as well as crafting data generation, acquisition, and alliance strategies.
The successful candidate will be actively involved in method development and project support in collaboration with data scientist, computational small molecule scientists, assay development scientists and medicinal chemists, project biologists, toxicology and pharmacokinetics and IT colleagues.
Key Responsibilities Include
Drive and contribute to the development and deployment of next‑generation AI/ML solutions that shape the future of drug discovery. You will develop predictive models that explore chemical space within and beyond Lipinski’s Rule of 5, enabling smarter design of synthetic molecules across diverse therapeutic areas.
Transform ideas into real‑world impact by collaborating with cutting‑edge IT and MLOps teams to bring your models into production environments—where they directly influence scientific decisions and accelerate discovery pipelines.
Translate complex computational insights into clear, compelling stories, enabling colleagues from different scientific backgrounds to understand and act on your findings.
Work side‑by‑side with experimental teams and digital technologists, integrating machine learning and AI into laboratory workflows to unlock new biological insights, optimize experiments, and reveal actionable design strategies.
Thrive in a collaborative, inclusive team culture built on trust, creativity, openness, and scientific curiosity—where your ideas are valued and your voice matters.
Contribute to the global scientific community by publishing your work in peer‑reviewed journals and presenting at leading conferences, showcasing innovative approaches that push the boundaries of computational drug discovery.
Qualifications
PhD in Data Science, Computational Science, or a related drug‑discovery field, with strong, hands‑on expertise in data science, machine learning, and modern AI approaches.
Proven ability to design, evaluate, and customize deep learning architectures to tackle complex scientific challenges and deliver innovative, high‑impact solutions.
Proficiency in Python, with experience using major deep‑learning frameworks such as PyTorch, TensorFlow, or Keras, and strong working
About the Company
At Johnson & Johnson Innovative Medicine, we innovate with purpose, to lead where medicine is going. The experiences of patients around the world inform and inspire our science-based innovations, which continue to change and save lives. Applying rigorous science with compassion, we confidently address the most complex diseases of our time and develop the potential medicines of tomorrow. We are continuously working to develop treatments, aspiring to find cures, pioneering the path from lab to life, and championing patients ev...
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