Johnson & Johnson Innovative Medicine is seeking a Senior Scientist to join the Data, Data Science & AI (DDSAI) organization, based in Spain. In this role, you will lead the design, execution, and application of advanced computational models to integrate multi‑modal perturbation data and human omics datasets for target/pathway nomination.

Key Responsibilities

You will drive the development of predictive frameworks for disease state reversal, nominate synergistic target combinations, and perform in silico target deconvolution to inform portfolio decisions in immune‑mediated diseases.

In this role, you will:

Lead the design, optimization, and validation of human‑omics driven perturbation prediction models integrating genetic and/or chemical perturbation data, including bulk/single-cell transcriptomics, proteomics, cytokine profiles, and other cellular screening data to predict disease‑reversal phenotypes in disease models.
Develop advanced computational methods to perform target deconvolution, identify target combinations and pathway perturbation that most effectively reverse pathogenic activities.
Build human‑omics-based phenotype scoring frameworks to quantify perturbation efficacy, validated across internal datasets and public databases.
Collaborate closely with therapeutic discovery, disease biology and preclinical safety leads to ensure computational predictions align with experimental design and biological context, translate in vitro perturbation outcomes into relevant human disease biology insights and testable hypothesis and experimental validation strategies.
Provide technical leadership - set analytical roadmaps, define milestones, quantify success metrics, and ensure reproducibility and scalability across workflows.

Qualifications

Required:

Ph.D. in Bioinformatics, Computational Biology, System Biology, Biomedical Engineering, Computer Science, Statistics, Electrical Engineering, Data Science, Artificial Intelligence, or a related quantitative field.
2+ years postdoctoral or industry experience in large‑scale multi‑omics data analysis (e.g., genomics, transcriptomics, proteomics and single cell omics), preferably in therapeutic discovery or translational research.
Proven expertise and hands-on experience in developing AI/ML models for biological datasets, including deep learning, generative modelling, representation learning and transformer-based methods; ideally with experience of in silico modelling of cellular response to genetic or chemical perturbations.
Experience working with multimodal biological datasets, including perturbation screens, transcriptomics, single-cell and spatial omics, proteomics, and genetic or epigenomic data, with the ability to integrate these into unified computational frameworks.
Experience in phenotype scoring development and evaluation, multi‑omics integration between human and in vitro models.
Advanced skills in high‑performance/cloud computing, reproducible pipeline development (eg. Nextflow), and workflow optimization.
Excellent written and oral communication skills for multidisciplinary teams. Demonstrated record of impactful research (peer‑reviewed publications, conference talks).

Preferred:

Experience in in vitro perturbation data analysis (eg. Perturb-seq) and chemical‑target mapping.
Knowledge of public omics databases.
Background in systems biology and network/pathway analysis and integrative data harmonization across platforms.
Familiarity with immune‑mediated disease biology, especially fibroblast pathobiology.
Experience in AI skills and agent development.

Impact of the Role

In this role, you will be at the forefront of J&J's initiatives to unlock novel therapeutic strategies by integrating proprietary perturbation datasets with cutting‑edge computational modelling. Your work will directly advance therapeutic discovery and translational research. You will have the flexibility to work at our Spanish sites or remotely, with global team integration.

Required Skills:

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

The anticipated base pay range for this position is:

€55,400.00 - €87,860.00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Moreover, we offer 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. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.