Senior Scientist, Target Identification & MultiOmics Evidence
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .
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:
Cornellà de Llobregat Barcelona Spain Madrid SpainJob Description:
Johnson and Johnson Innovative Medicine (JJIM) is recruiting a highly motivated Senior 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 targetdisease 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 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 AnalysisRequired Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more
