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

Job Function Data Analytics & Computational Sciences Job Sub Function Data Science Job Category Scientific/Technology Locations Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America

Job Description

Johnson & Johnson Innovative Medicine is recruiting for Principal Data Scientist – R&D DSDH - Therapeutics Discovery (TD). The primary location for this position is open to Spring House, PA; Titusville, NJ; Cambridge, MA; San Diego, CA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain. Role Summary 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 & high‑throughput experimentation.

Key Responsibilities

Machine Learning & Modeling Develop ML/AI models that support discovery workflows, including target prioritization, multi‑omics 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 real‑world 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, multi‑omics, imaging, biophysical, automation logs, etc.). Partner with platform teams to implement best‑practice 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 hand‑in‑hand with TD scientists to understand key biological and chemical questions and shape computational strategy accordingly. Translate sparse, heterogeneous experimental datasets into insights that guide decision‑making 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 next‑generation discovery science. Champion high standards for data quality, documentation, governance, and reproducibility.

Qualifications

Required Master’s 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, scikit‑learn, 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, high‑content imaging, chemical structure data, or biological assay data. Knowledge of data standards (e.g., FAIR, ontologies, controlled vocabularies) and working within regulated or quality‑governed environments. Strong communication skills and ability to thrive in a matrixed, multidisciplinary environment. 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 under 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. Anticipated Base Pay Range $117,000.00 - $201,250.00

Benefits

Vacation – 120 hours per calendar year Sick time – 40 hours per calendar year; for employees who reside in the State of Colorado – 48 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year Holiday pay, including Floating Holidays – 13 days per calendar year Work, Personal and Family Time – up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52‑week rolling period Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year For additional general information on Company benefits, please go to #J-18808-Ljbffr Apply tot his job Apply To this Job