Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Barcelona, Spain, Madrid - LafincaJob Description:
Johnson and Johnson Innovative Medicine (JJIM) is recruiting a highly motivated Scientist to develop robust, scalable frameworks for target identification and prioritization by integrating and quantifying multiomics and human genetics evidence. This role will play a critical part in enabling data driven target decisions and accelerating translation from discovery to clinical development by delivering fit-for-purpose, interpretable evidence to project teams.
The successful candidate will work at the interface of biology, data science, and translational research, collaborating closely with therapeutic area teams, data/computational scientists, and disease geneticists. 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 and implement frameworks for systematic target identification and prioritization, integrating multiomics, human genetics, and functional data.
Quantify and synthesize multiomics evidence (e.g., genomics, transcriptomics, proteomics, single-cell data, QTLs, real-world and clinical datasets) to support target nomination and validation decisions.
Establish evidence scoring and prioritization schemes that assess target–disease association, biological plausibility, safety, and translational relevance.
Apply causal inference, network biology, and integrative analytics to link targets, pathways, biomarkers, and disease phenotypes.
Partner with therapeutic area teams to translate analytical outputs into actionable insights for portfolio and program decision making.
Contribute to the design and evolution of reusable analytical pipelines, platforms, and best practices for target evaluation.
Clearly communicate complex multiomics results to diverse stakeholders through high quality written reports, visualizations, and presentations.
Required Qualifications
PhD in Computational Biology, Bioinformatics, Genetics, Systems Biology, Biostatistics, or a related quantitative life science field, with postdoctoral or equivalent industry experience.
Strong background in multiomics data integration and human disease biology.
Demonstrated experience in target identification, target prioritization, or translational evidence generation in a drug discovery or biomedical research setting.
Solid understanding of human genetics and multi-omics (e.g., GWAS, rare variant analysis, xQTL, colocalization, Mendelian randomization, differential expression, and differential abundance analyses).
Proficiency with data analysis and modeling tools (e.g., R, Python) and experience working with largescale biological datasets.
Ability to work independently while thriving in highly collaborative, cross functional teams.
Preferred Qualifications
Experience supporting clinical or late-stage discovery decision making using omics or real-world data.
Familiarity with AI/ML methods applied to biological inference or target prioritization.
Prior exposure to therapeutic area discovery pipelines (e.g., neuroscience, oncology, immunology).
Track record of scientific publications, internal impact, or platform development.
Why This Role
This position offers the opportunity to shape foundational target identification and prioritization frameworks that directly impact portfolio strategy and clinical success, working at the cutting edge of multiomics, human genetics, and data driven drug discovery.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, 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 AnalysisThe anticipated base pay range for this position is:
€43,600.00 - €70,150.00Benefits:
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.
*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
