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Scientist, Precision Biomarkers – MultiOmics Integration
Johnson & Johnson. Develop, implement, and apply integrative multiomics frameworks to identify biomarkers and patient subtypes relevant to discovery and clinical precision strategies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in multiomics data integration and analysis, with a strong focus on biomarker discovery and patient stratification. Proficient in programming with R or Python and skilled in communicating complex analytical results to diverse stakeholders.
Highest-signal resume keywords
Multiomics Data IntegrationBiomarker DiscoveryPatient StratificationProgramming in R or PythonCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multiomics FrameworksStatistical MethodsMachine LearningData AnalysisGenomicsTranscriptomicsProteomicsSingle-Cell OmicsSpatial OmicsBiostatistics
Soft Skills
Effective CommunicationTeam CollaborationAnalytical Thinking
Industry Keywords
Precision MedicineClinical DevelopmentTranslational Data ScienceHuman GeneticsMolecular Disease Mechanisms
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop, implement, and apply integrative multiomics frameworks to identify biomarkers and patient subtypes relevant to discovery and clinical precision strategies
- Integrate genomics, transcriptomics, proteomics, single-cell/spatial omics, QTLs, imaging, and clinical/real-world data to characterize disease heterogeneity
- Design patient stratification and subtyping approaches linking molecular signatures to disease mechanisms, prognosis, and treatment response
- Quantify and prioritize biomarker evidence supporting target engagement, pharmacodynamic response, and patient selection
- Apply systems biology, network analysis, and statistical/ML methods to connect targets, pathways, biomarkers, and clinical phenotypes
- Partner with discovery, translational, and clinical teams to support decision making
- Contribute to best practices, reusable pipelines, and scalable platforms for multiomics biomarker discovery
- Communicate complex analytical results to scientific and clinical stakeholders through narratives, visualizations, and presentations
- Shape use of multiomics evidence to define patient populations, guide biomarker strategy, and enable precision medicine
Requirements
What you’ll need- PhD in Computational Biology, Bioinformatics, Systems Biology, Genetics, Biostatistics, or a related quantitative life science discipline, with relevant postdoctoral or industry experience; or a master’s degree in a related field with at least 4 years of relevant experience
- Strong hands-on experience in multiomics data integration and analysis, particularly in the context of human disease
- Demonstrated expertise in biomarker discovery, patient stratification, or translational data science
- Solid understanding of human genetics, functional genomics, and molecular disease mechanisms
- Proficiency in programming and data analysis, including R or Python, and working with large-scale biological datasets
- Proven ability to work effectively in cross-functional, matrixed research environments
- Preferred: experience supporting precision medicine or clinical development programs through biomarker or subtyping strategies
- Preferred: familiarity with proteomics, single-cell and spatial omics and their application to patient heterogeneity
- Preferred: exposure to AI/ML approaches for biomarker discovery or patient stratification
- Preferred: prior experience collaborating directly with clinical, translational, or regulatory stakeholders
- Preferred: track record of high-impact publications, platform development, or internal scientific influence
Benefits
Comp & perks- Annual bonus with set target depending on pay grade/location
- Vacation days
- Parental leave for a minimum of 12 weeks
- Bereavement leave
- Caregiver leave
- Volunteer leave
- Well-being reimbursement
- Programs for financial, physical and mental health
- Service anniversary and recognition awards
- Insurance plans for employees and, in some locations, eligible dependents