Sr. Principal Scientist, Spatial Omics

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 Med Tech, 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.

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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.

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We are searching for the best talent for a Senior Principal Scientist, Spatial Omics in Cambridge, MA or Spring House, PA.

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.

In this role, you will independently design, build, and apply cutting‑edge AI/ML frameworks to extract deep insights from spatial omics disease and normal maps combined with orthogonal genomics, transcriptomics, proteomics, metabolomics, and single‑cell data. You will develop and deploy ML‑based and/or agent‑based models (ABM) to simulate cellular, tissue‑level, and microenvironmental dynamics, enabling mechanistic predictions and hypothesis generation that augment experimental biology.

Your work will bridge predictive, 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 mission‑critical role in shaping the Multi‑omics computational ecosystem. You will map, 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 next‑generation omics, high‑dimensional analytics, and large‑scale ML training. Your architectural guidance will enable scalable, reproducible, cloud‑native 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, cross‑disciplinary problem‑solving, 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…