Principal Scientist, Spatial Omics

Johnson & Johnson

Principal Scientist leading spatial omics capabilities for therapeutic discovery at Johnson & Johnson. Driving molecular profiling for neuroscience, oncology, and immunology research.

Posted 6/4/2026full-timeCambridge • Massachusetts, Pennsylvania • 🇺🇸 United StatesLead💰 $117,000 - $201,250 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Leading the development, optimization, and validation of spatial genomics and molecular profiling assays to support neuroscience, oncology, and immunology programs.
Designing and executing experimental workflows involving tissue processing, immunohistochemistry, in situ hybridization, microscopy, high‑resolution slide imaging and sequencing.
Establishing and refining new molecular assays, including troubleshooting, workflow development, and technical feasibility assessments.
Building and scaling laboratory infrastructure, including lab setup, instrumentation planning, and operational readiness.
Managing CROs and external partners, ensuring high‑quality data generation, timeline alignment, and technical deliverables.
Collaborating closely with therapeutic area teams to translate multiomics and spatial readouts into actionable biological insights.
Contributing to data workflows by supporting early-stage data mapping, QC frameworks, and analytical handoffs to computational teams.

Requirements

What you’ll need

Minimum of 6 years of biotech or pharmaceutical industry experience is required.
Academic staff scientist experience in deeply technical, matrixed, project facing roles will be considered.
Strong track record of high-impact scientific deliverables as evidenced by publications, presentations, and recognition within the scientific community.
Deep, technical spatial omics expertise is required, including understanding of end-to-end workflows, methods limitations, and mitigation strategies.
Excellent written communication, verbal communication, and oral presentation skills are required.
Experience with Multiomic Datasets is required.
Demonstrated ability to work across disciplines and functional areas is required.
Ability to apply novel approaches to address complex biology questions, as evidenced through strong peer-reviewed publications is required.
Proficiency in programming languages such as R or Python is preferred.
In vitro cell culture and genomics library design experience is preferred.
Experience as a problem solver, and team collaborator able to facilitate understanding between biologists and data scientists is preferred.
Ability to manage multiple projects and meet deadlines is preferred.
Experience working with and/or guiding external collaborators in industry or academia is preferred.

Benefits

Comp & perks

medical, dental, vision, life insurance
short and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
annual performance bonus
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 period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

spatial genomicsmolecular profiling assaysimmunohistochemistryin situ hybridizationmicroscopyhigh-resolution slide imagingsequencingMultiomic DatasetsRPython

Soft Skills

written communicationverbal communicationoral presentationproblem solvingteam collaborationcross-disciplinary workproject managementdeadline management