Senior Scientist, Biostatistics

Johnson & Johnson

Senior Scientist Biostatistics supporting neuroscience drug discovery at Johnson & Johnson. Collaborative role involving statistical modelling and evidence reporting for drug development.

Posted 7/18/2026full-timeBeerse • 🇧🇪 BelgiumSenior💰 €72,500 - €115,230 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis and experimental design, with proficiency in R programming and a strong ability to communicate complex findings clearly. Collaborates effectively within cross-functional teams while contributing to drug discovery and biomarker studies.

Highest-signal resume keywords

PhD In StatisticsR Programming ProficiencyExperimental Design KnowledgeExcellent Analytical SkillsFluency In English

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMultivariate AnalysesPredictive ModellingNon-Linear Mixed Effect ModelsModern Visualization Methods

Soft Skills

Excellent Written CommunicationExcellent Oral CommunicationAbility To Work AutonomouslyTeam Collaboration

Industry Keywords

Bio-Analytical ValidationTranslational Biomarker StudiesDrug DiscoveryIn-Vivo StudiesIn-Vitro Studies

About the role

Key responsibilities & impact

Support the design and analysis of in-vivo and in-vitro studies
Provide bio-analytical validation experiments and translational biomarker studies
Contribute to informed decisions in drug discovery through applying analytical mindset, analysis skills, and experimental design suggestions
Report and communicate evidence clearly
Collaborate within cross-functional teams and with external contractors
Participate in scientific activities in the local professional community

Requirements

What you’ll need

PhD in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
Excellent analytical skills
Excellent written and oral communication skills
Fluency in English
Proficiency in R programming
Knowledge of experimental design, (non)-linear mixed effect models, multivariate analyses, predictive modelling and expertise in modern visualization methods
Eagerness to continuously learn about the relevant underlying science and to expand statistical and computing expertise.
Ability to work autonomously and within a team environment

Benefits

Comp & perks

an annual bonus with set target (% of pay) 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
participation in several insurance plans