Senior Scientist, Discovery Data Science

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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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 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 positions 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 nextgeneration AI/ML solutions that shape the future of drug discovery. You will develop predictive models that explore chemical space within and beyond Lipinskis Rule of 5 enabling smarter design of synthetic molecules across diverse therapeutic areas.

• Transform ideas into realworld impact by collaborating with cuttingedge IT and MLOps teams to bring your models into production environmentswhere 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 sidebyside 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 curiositywhere your ideas are valued and your voice matters.

• Contribute to the global scientific community by publishing your work in peerreviewed 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 drugdiscovery field with strong handson 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 highimpact solutions.

• Proficiency in Python with experience using major deeplearning frameworks such as PyTorch TensorFlow or Keras and strong working knowledge of scientific libraries (NumPy SciPy Pandas). Experience or affinity with cloud computing and MLOps practices is highly valued.

• Experience in data analytics predictive modeling and AI-assistedassisted molecular design and optimization for small molecules (desired).

• Experience applying AI/ML to off-ttarget risk prediction or liability modeling in drug discovery (desired).

• Familiarity with biology and/or chemistry and enthusiasm for learning across scientific domains (desired).

• Demonstrated ability to thrive in crossfunctional matrixed project teams contributing effectively to multidisciplinary research.

• A track record of planning executing and delivering complex scientific projects with strong analytical thinking and scientific rigor.

• Genuine passion for applying computational science to realworld industrial problems especially in the context of improving human health through drug discovery.

• Strong communication organizational and interpersonal skills including the ability to collaborate present results clearly and engage with diverse scientific partners.

• A commitment to being part of a team that values diversity fosters inclusion and encourages creativity innovation and continuous learning.

• Any earlier experience in AI-driven molecular design and optimization related predictive modelling data analytics or liability modelling or exposure to applied biology or chemistry would strengthen an application.

Optionally the position title commensurate with alternative experience level.

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