Job Function: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Biological Research Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, 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 We are searching for the best talent for a Senior Principal Scientist, Spatial Omics in Cambridge, MA or Spring House, PA. Purpose:
As aSenior Principal Scientist in Spatial Omics, you will be a highimpact individual contributor and scientific thought leader driving advanced computational innovation across multimodal biological datasets. You will operate at the intersection ofmachine learning, systems biology, spatial genomics, and computational modeling, delivering analytical breakthroughs that transform how biological complexity is understood and leveraged in therapeutic discovery. In this role, you will independently design, build, and apply cuttingedge AI/ML frameworks to extract deep insights fromspatial omics disease and normal maps combined with orthogonal genomics, transcriptomics, proteomics, metabolomics, and singlecell data. You will develop and deployML-based and/or agentbased models (ABM)to simulate cellular, tissuelevel, and microenvironmental dynamics, enabling mechanistic predictions and hypothesis generation that augment experimental biology. Your work will bridgepredictive, generative, and mechanistic modeling, creating a unified computational layer that drives discovery across therapeutic areas. Beyond algorithm selection, deployment and development, you will play a missioncritical role in shaping the Multi-omics computational ecosystem. You willmap, influence, and guide the evolution of the data and modeling architecture, collaborating closely with data engineering, platform, and scientific partners to ensure that infrastructure, pipelines, and data standards are optimized for nextgeneration omics, highdimensional analytics, and largescale ML training. Your architectural guidance will enable scalable, reproducible, cloudnative workflows that support both routine and exploratory science. As a recognized expert in the field, you will exert scientific leadership through influence rather than direct personnel management; advising teams, championing best practices, shaping strategic priorities, and representing computational innovation internally and externally. Your contributions will accelerate target discovery, deepen mechanistic understanding, refine patient stratification, and guide biomarker development, ultimately shaping portfolio decisions and scientific strategy across the organization. This role is ideal for a scientist who thrives on scientific depth, architectural thinking, crossdisciplinary problemsolving, and the intellectual independence to push the boundaries of what is computationally and biologically possible. You will be responsible for:

• Advanced Computational Omics Research
  • Develop and apply stateoftheart AI/ML, statistical, and computational frameworks to analyze genomics, transcriptomics, proteomics, metabolomics, singlecell, and multiomics datasets.
  • Lead the design and execution ofspatial omics analyses at massive scale, integrating imagingbased, sequencingbased, and multiplexed spatial platforms to uncover tissue architecture, cellular neighborhoods, and microenvironmental dynamics.
  • Build scalable pipelines to preprocess, QC, harmonize, and integrateterabyte to petabytescale spatial omics datasets, enabling discoveryready data layers and advanced modeling.
• Mechanistic & Predictive Modeling
  • Deploy, adapt and developagentbased models (ABM)to simulate cellular interactions, tissuelevel 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 that are tailored for biological complexity.
  • Design and implement scalable algorithms for highdimensional, multimodal integration of spatial, molecular, and phenotypic data.
  • Prototype and benchmark cuttingedge computational approaches, pushing the frontier of in silico biological inference.
• Data Architecture & Infrastructure Leadership
  • Map, influence, and guide the development of computational and data architectureneeded to support nextgeneration 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 largescale distributed training, complex spatial analytics, cloudnative computation, and longterm model governance.
• CrossFunctional Scientific Leadership (IC Role)
  • Act as a senior scientific authority, shaping strategy and guiding decisionmaking across discovery and platform innovation, without direct people management.
  • Provide highlevel technical mentorship, scientific critique, and modeling guidance to colleagues and collaborators.
  • Drive crossdisciplinary project teams by defining computational strategy, interpreting results, and ensuring scientific rigor.
• Impact & Translation
  • Deliver insights that advance target identification, mechanismofaction exploration, pathway modeling, biomarker discovery, and patient stratification.
  • Translate computational discoveries into actionable biological hypotheses, experimental designs, and portfolioimpacting recommendations.
• Communicate findings effectively to scientific and strategic stakeholders.

Qualifications/Requirements:

• 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/Experience:

• Minimum of 9 years of postdoctoral, industry or academic experienceapplying advanced computational, statistical, and machinelearning methods to biological problems.
• Deep expertise across multiple omics modalities, including genomics, transcriptomics, proteomics, metabolomics, andspatial omics (e.g., spatial transcriptomics, multiplexed imaging, spatial proteomics).
• Demonstrated ability to analyze, integrate, and interpretvery largescale, multimodal datasets(multiTB to PB scale), including the design of scalable pipelines and distributed computation strategies.
• Expertlevel proficiency in modern ML/AI frameworks, such as PyTorch, TensorFlow, JAX, scikitlearn, and deeplearning architectures relevant to biological modeling.
• Strong background inagentbased modeling, systems biology modeling, or hybrid mechanisticML modeling frameworks.
• Proven ability todesign and influence data and computational architectures, including experience working with cloudnative analytical ecosystems (Azure, AWS, or GCP) and largescale data engineering workflows.
• Demonstrated scientific leadership as anindividual contributor, including the ability to independently drive complex research programs, set technical direction, and influence crossfunctional strategy.
• A strong publication record in highimpact journals or toptier 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.

The expected pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation27s performance over a calendar/ performance year. Bonuses are awarded at the Company27s discretion on an individual basis.

• Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short and long-term disability, business accident insurance, and group legal insurance.
• Subject to the terms of their respective plans, employees are eligible to participate in the Company27s consolidated retirement plan (pension) and savings plan (401(k)).
• This position is eligible to participate in the Company27s long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
  • Vacation 120 hours per calendar year
  • Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 148 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 180 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 period10 days
  • 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: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on March 7, 2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications. Required Skills: Preferred Skills: Big Data Management, Data Reporting, Data Savvy, Drug Discovery Development, Molecular Diagnostics, Pharmaceutical Microbiology, Problem Solving, Product Development, Product Knowledge, Project Reporting, Research Proposals, Scientific Research, Standard Operating Procedure (SOP), Strategic Thinking, Sustainability, Tactical Planning, Technical Credibility