Sr. Principal Scientist, Spatial Omics

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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.

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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 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 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 $137000 to $235750.

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 corporations performance over a calendar/ performance year. Bonuses are awarded at the Companys 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 Companys consolidated retirement plan (pension) and savings plan (401(k)).
• This position is eligible to participate in the Companys 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 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 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: 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 to accept additional applications.

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 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 please contact us via or contact AskGS to be directed to your accommodation resource.

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