Principal Scientist, Computational Biology-Oncology Translational Research

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: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Translational Discovery & Development Biomarkers Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America Job Description: About Innovative Medicine 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 About Oncology 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. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. 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 We are seeking a highly motivated principal scientist to join our translational research team based in Spring House, PA, Cambridge, MA, La Jolla, CA. Position Summary The Principal Scientist, Computational Biology-Oncology Translational Research, will be responsible for developing and executing computational strategy for oncology translational and clinical biomarker programs. This individual will lead the integration and interpretation of complex multimodal omics, biomarker, and clinical data; determine and defend fit-for-purpose analytical approaches; and deliver rigorous AI-enabled bioinformatics, statistical, and machine-learning evidence that meaningfully informs clinical development. The role requires broad oncology expertise, deep clinical-trial and pharmaceutical-development knowledge, and the scientific leadership to influence decisions across Translational Research, Clinical Development, Statistics, Programming, Pathology, Diagnostics, Data Science, Regulatory, and Biomarker Operations. Essential Job Duties and Responsibilities Lead computational hands-on analyses of multimodal oncology biomarker data, including DNA/RNA sequencing, proteomics, flow cytometry, single-cell, and spatial transcriptomics data; apply deep cancer biology knowledge to determine and defend analytical approaches and biological interpretation. Define and develop appropriate statistical and machine-learning plans to carry out biomarker and clinical-outcome analyses, with careful consideration of validation, bias, missingness, batch effects, and analytical limitations. Drive integration of molecular, pathological, assay, sample, and clinical data to establish the relevance, clinical utility, evidentiary strength, and limitations of pharmacodynamic, prognostic, predictive, and resistance biomarkers. Define and support computational evidence generation for biomarker plans, patient-selection and enrichment strategies, MRD initiatives, longitudinal monitoring, and clinical-study interpretation using deep knowledge of oncology drug development and trial design. Drive responsible adoption of approved AI-enabled methods, including multimodal and foundation-model approaches and agentic workflows; ensure human oversight, validation, traceability, reproducibility, data privacy, and scientific accou