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Johnson & Johnson

Principal Scientist, Multiomics

Johnson & Johnson

. Develop, validate, and apply next-generation spatial omics and massively parallel functional genomics platforms for therapeutic discovery .

Posted 9/18/2026full-timeCambridge • Massachusetts • United StatesLead💰 $117,000 - $201,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in spatial omics, functional genomics, and multiomic data generation, with a strong focus on experimental design, assay development, and technology optimization. Proven ability to lead cross-functional teams and collaborate effectively across biology, technology, and computational science.

Highest-signal resume keywords
PhD In GeneticsSpatial Omics ExpertiseMassively Parallel Reporter Assays (MPRAs)Experimental DesignMultiomics Data Generation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Assay DevelopmentTechnology OptimizationPooled ScreeningCRISPR-Based Perturbation ScreensSpatial TranscriptomicsSpatial ProteomicsCellular Model GenerationMolecular ProfilingGenetic Screening WorkflowsData Analysis In R And/or Python
Soft Skills
Scientific LeadershipStrong Written CommunicationVerbal Presentation SkillsInnovative Problem SolvingCollaboration
Tools & Technologies
Bruker CosMx10x Genomics VisiumXeniumMicroscopyHigh-Resolution ImagingSequencing Workflows
Industry Keywords
BiotechnologyPharmaceutical IndustryTranslational ResearchBiologics DiscoveryNeuroscienceOncologyImmunology

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop, validate, and apply next-generation spatial omics and massively parallel functional genomics platforms for therapeutic discovery
  • Build and deploy integrated platforms connecting genetic perturbation, genetic element function, cellular phenotypes, and tissue context
  • Lead experimental workflows spanning perturbation library development, reporter assay engineering, cellular model generation, spatial molecular profiling, and multiomic data generation
  • Identify regulatory mechanisms, target-effector relationships, disease-associated cellular programs, and therapeutic opportunities
  • Establish and scale laboratory capabilities as an individual contributor
  • Evaluate emerging technologies and manage external collaborators and CROs
  • Serve as a scientific partner supporting multiple discovery programs
  • Lead development, optimization, and deployment of MPRAs combined with single-cell and spatial omics
  • Design workflows integrating genetic perturbation, reporter assays, molecular profiling, and spatial analysis
  • Serve as a subject matter expert in spatial biology, functional genomics, and high-content genomics screening
  • Design and execute in situ hybridization, microscopy, spatial transcriptomics, spatial proteomics, high-resolution imaging, and sequencing workflows
  • Develop and optimize spatial assays using Bruker CosMx, 10x Genomics Visium, Xenium, and emerging technologies
  • Apply spatial approaches to characterize cellular interactions, tissue architecture, disease mechanisms, and therapeutic responses
  • Develop and deploy MPRAs to investigate protein elements, disease-associated variants, transcriptional control mechanisms, and cell-state-specific regulatory programs
  • Design and execute pooled functional genomics studies, including CRISPR-based perturbation screens, barcode-enabled assays, and genetic screening workflows
  • Lead experimental design for library construction, vector engineering, cellular model generation, assay validation, and screening campaigns
  • Build workflows connecting functional perturbation data with spatial phenotypes and tissue-level biology
  • Partner with computational scientists on data standards, quality-control frameworks, and scalable analytical pipelines
  • Collaborate with platform and therapeutic-area scientists to translate multiomic findings into biological insights and therapeutic hypotheses

Requirements

What you’ll need
  • PhD in Genetics, Genomics, Molecular Biology, Systems Biology, Human Biology, Bioengineering, Computational Biology, or a related discipline
  • Equivalent industry experience with a strong record of scientific achievement will also be considered
  • Minimum of 6 years of biotechnology or pharmaceutical industry experience, or equivalent experience in highly technical translational research environments
  • Demonstrated scientific leadership with a strong record of publications, presentations, patents, or major technology contributions
  • Deep expertise in spatial omics and molecular imaging technologies, or functional genomics, pooled screening, and massively parallel reporter assays (MPRAs), with demonstrated experience working across both domains
  • Proven experience in experimental design, assay development, technology optimization, and platform deployment
  • Experience generating and interpreting complex multiomics datasets
  • Ability to work effectively across biology, technology, computational science, and therapeutic area teams
  • Strong written, verbal, and presentation skills
  • Demonstrated ability to apply innovative approaches to complex biological questions
  • Familiarity with Antibody structure and Biologics Discovery highly preferred
  • Postdoctoral training preferred
  • Preferred experience with spatial transcriptomics, spatial proteomics, single-cell genomics, or multimodal profiling technologies
  • Preferred experience developing or applying MPRAs, CRISPR screens, Perturb-seq, pooled screening technologies, or regulatory genomics approaches
  • Preferred familiarity with genomics library design, barcode-based assays, viral vector systems, and cell engineering
  • Preferred experience with programming and data analysis in R and/or Python
  • Preferred knowledge of neuroscience, oncology, immunology, or translational research applications
  • Preferred experience managing multiple collaborations, external partners, and technology evaluations
  • Ability to serve as a scientific bridge between experimental and computational teams

Benefits

Comp & perks
  • Consolidated retirement plan (pension)
  • Savings plan (401(k))
  • Company long-term incentive program
  • Vacation – 120 hours per calendar year
  • Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington
  • 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 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
  • Inclusive interview accommodations for applicants with disabilities