Sr. Principal Scientist, Spatial Omics

Senior Principal Scientist, Spatial Omics Cambridge, Massachusetts or Spring House, Pennsylvania. Purpose As a Senior Principal Scientist in Spatial Omics, you will be a high‑impact individual contributor and scientific thought leader driving advanced computational innovation across multimodal biological datasets. You will operate at the intersection of machine learning, systems biology, spatial genomics, and computational modeling, delivering analytical breakthroughs that transform how biological complexity is understood and leveraged in therapeutic discovery. Key Responsibilities Advanced Computational Omics Research Develop and apply state‑of‑the‑art AI/ML, statistical, and computational frameworks to analyze genomics, transcriptomics, proteomics, metabolomics, single‑cell, and multi‑omics datasets. Lead the design and execution of spatial omics analyses at massive scale, integrating imaging‑based, sequencing‑based, and multiplexed spatial platforms to uncover tissue architecture, cellular neighborhoods, and microenvironmental dynamics. Build scalable pipelines to preprocess, QC, harmonize, and integrate terabyte‑ to petabyte‑scale spatial omics datasets, enabling discovery‑ready data layers and advanced modeling. Mechanistic & Predictive Modeling Deploy, adapt and develop agent‑based models (ABM) to simulate cellular interactions, tissue‑level organization, and dynamic biological processes, incorporating outputs from multimodal omics and spatial measurements. Fuse mechanistic models with ML/AI frameworks to generate hybrid predictive systems for target discovery, perturbation response, and disease progression modeling. Algorithm & Platform Innovation Deploy and create novel ML architectures, including deep learning, generative models, graph neural networks, and causal inference frameworks tailored for biological complexity. Design and implement scalable algorithms for high‑dimensional, multimodal integration of spatial, molecular, and phenotypic data. Prototype and benchmark cutting‑edge computational approaches, pushing the frontier of in silico biological inference. Data Architecture & Infrastructure Leadership Map, influence, and guide the development of computational and data architecture needed to support next‑generation omics and ML workloads. Partner with data engineering and platform teams to define standards for data ingestion, modeling workflows, metadata management, and reproducible research ecosystems. Ensure infrastructure supports large‑scale distributed training, complex spatial analytics, cloud‑native computation, and long‑term model governance. Cross‑Functional Scientific Leadership (IC Role) Act as a senior scientific authority, shaping strategy and guiding decision‑making across discovery and platform innovation, without direct people management. Provide high‑level technical mentorship, scientific critique, and modeling guidance to colleagues and collaborators. Drive cross‑disciplinary project teams by defining computational strategy, interpreting results, and ensuring scientific rigor. Impact & Translation Deliver insights that advance target identification, mechanism‑of‑action exploration, pathway modeling, biomarker discovery, and patient stratification. Translate computational discoveries into actionable biological hypotheses, experimental designs, and portfolio‑impacting recommendations. Communicate findings effectively to scientific and strategic stakeholders. Qualifications Education: Minimum of a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistical Genetics, Systems Biology, Applied Mathematics/Physics, or a related quantitative discipline. Skills and Experience: Minimum of 9 years of post‑doctoral, industry, or academic experience applying advanced computational, statistical, and machine‑learning methods to biological problems. Deep expertise across multiple omics modalities, including genomics, transcriptomics, proteomics, metabolomics, and spatial omics. Demonstrated ability to analyze, integrate, and interpret very large‑scale, multimodal datasets (multi‑TB to PB scale), including the design of scalable pipelines and distributed computation strategies. Expert‑level proficiency in modern ML/AI frameworks, such as PyTorch, TensorFlow, JAX, scikit‑learn, and deep‑learning architectures relevant to biological modeling. Strong background in agent‑based modeling, systems biology modeling, or hybrid mechanistic‑ML modeling frameworks. Proven ability to design and influence data and computational architectures, including experience working with cloud‑native analytical ecosystems (Azure, AWS, or GCP) and large‑scale data engineering workflows. Demonstrated scientific leadership as an individual contributor, including the ability to independently drive complex research programs, set technical direction, and influence cross‑functional strategy. A strong publication record in high‑impact journals or top‑tier ML/AI conferences, reflecting innovation in computational biology or applied machine learning. Proficiency in Python and experience with scientific computing libraries (NumPy, SciPy, pandas) and workflow orchestration tools. Compensation Expected pay range: $137,000 to $235,750. Benefits Medical, dental, vision, and life insurance. Short- and long‑term disability coverage. Retirement benefits including a 401(k) plan. Eligibility for long‑term incentive program. Paid time off: vacation, sick leave, holiday pay, personal and family time, parental leave, bereavement leave, caregiver and volunteer leave, and military spouse time‑off. Equal Opportunity Employer 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 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. Accessible Interview Process If you are an individual with a disability and would like to request an accommodation, please contact us at or the accommodation resource center. #J-18808-Ljbffr Israelvcforum