Scientist, Precision Biomarkers & MultiOmics Integration

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Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

Job Description:

Job Description

Scientist, Precision Biomarkers & MultiOmics Integration

Johnson and Johnson Innovative Medicine (JJIM) is seeking a highly accomplished Scientist to develop and apply multiomics integration methods and frameworks for biomarker identification and patient subtyping, with the goal of enabling precision medicine strategies across disease areas and across discovery and clinical development.

This role will focus on extracting, quantifying, and translating complex multimodal biological data into actionable insights that inform patient stratification, biomarker strategy, and target-biomarker-disease understanding.

The successful candidate will operate at the intersection of computational biology, translational science, and therapeutic area (TA) collaboration.

This is an onsite role based in Spain, with Madrid as the primary location and Barcelona as a secondary option.

Hybrid and fully remote arrangements may be considered on a case-by-case basis.

Key Responsibilities



* Develop, implement, and apply integrative multiomics frameworks to identify biomarkers and patient subtypes relevant to xTA discovery and clinical precision strategies.


* Integrate diverse data modalities, including genomics, transcriptomics, proteomics, single-cell/spatial omics, QTLs, imaging, and clinical/real-world data, to characterize disease heterogeneity.


* Design patient stratification and subtyping approaches that link 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 closely with discovery, translational, and clinical teams to ensure biomarker and subtyping outputs directly support decision making.
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