Principal Data Scientist – R&D DSDH Therapeutics Discovery (TD)

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Johnson & Johnson Innovative Medicine is recruiting for Principal Data Scientist R&D DSDH - Therapeutics Discovery (TD)

The primary location for this position is open toSpring House PA; Titusville NJ; Spring House PA; Cambridge MA; San Diego CA; Beerse Belgium; Madrid Spain; or Barcelona Spain.

Candidate Interested in our US based locations please apply to R-067794

About the Role

Johnson & Johnson Innovative Medicine is seeking a highly skilled R&D Data Scientist to support our Therapeutics Discovery (TD) organization. This role sits within the R&D Data Science group and will focus on building and applying advanced Machine Learning (ML) and Data Engineering solutions that accelerate scientific innovation across the drug discovery lifecycle. The ideal candidate brings strong computational expertise and a solid scientific understanding of early R&D including areas such as Target Identification & Assessment Lead Identification & Optimization Mechanistic / Mode of Action studies and Lab Automation & highthroughput experimentation.

The Data Scientist will collaborate closely with discovery scientists automation engineers computational biologists and platform technology teams to transform complex multimodal R&D data into actionable insights that drive therapeutic innovation.

Key Responsibilities

Machine Learning & Modeling

• Develop ML/AI models that support discovery workflows including target prioritization multiomics integration and mechanistic inference.

• Apply modern ML approaches (e.g. deep learning graph learning foundation models generative models) to chemical biological imaging and assay datasets.

• Build and optimize models for realworld R&D use cases ensuring scalability interpretability and scientific rigor.

Data Engineering & Pipeline Development

• Design build and maintain robust data pipelines that curate standardize and integrate diverse R&D datasets (chemical biological multiomics imaging biophysical automation logs etc.).

• Partner with platform teams to implement bestpractice MLOps/DevOps workflows and deploy ML models into production R&D environments

• Develop tooling that accelerates dataset preparation feature engineering and model lifecycle management across TD.

Scientific Partnership

• Work handinhand with TD scientists to understand key biological and chemical questions and shape computational strategy accordingly.

• Translate sparse heterogeneous experimental datasets into insights that guide decisionmaking in hit discovery mechanism studies perturbation experiments and compound optimization.

• Participate in design interpretation and iterative refinement of discovery experiments.

Innovation & Collaboration

• Partner with cross-functional teams in R&D Data Science IT platform engineering and therapeutic area groups to drive AI/ML adoption.

• Contribute to evaluating new analytical methods automation technologies and data platforms supporting nextgeneration discovery science.

• Champion high standards for data quality documentation governance and reproducibility.

Qualifications

Required

• Masters or Ph.D. in Computational Biology Bioinformatics Data Science Chemistry Chemical Biology Biomedical Engineering Computer Science or related field.

• Experience applying ML/AI in scientific domains (drug discovery biology chemistry systems biology imaging or related areas).

• Strong programming skills in Python (preferred) and experience with scientific/ML libraries (PyTorch TensorFlow scikitlearn RDKit etc.).

• Practical experience with data engineering including data modeling workflow orchestration ETL/ELT pipelines and cloud computing environments (AWS GCP or Azure).

• Ability to work directly with experimental scientists to solve real R&D challenges.

Preferred

• Experience in pharma or biotech discovery including target assessment phenotypic screening medicinal chemistry workflows and lab automation.

• Familiarity with omics highcontent imaging chemical structure data or biological assay data.

• Knowledge of data standards (e.g. FAIR ontologies controlled vocabularies) and working within regulated or qualitygoverned environments.

• Strong communication skills and ability to thrive in a matrixed multidisciplinary environment.

Why This Role Is Unique

This is a rare opportunity to grow in one of the worlds most ambitious and fastest-growing Pharma R&D Data Science organizations shaping how TD data powers nextgeneration therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnsons scientific discovery fuel AI innovation and impact patients globally.

Johnson & Johnson is an 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 disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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