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Job Function: Discovery & Pre-Clinical/Clinical DevelopmentJob Sub Function: Biological ResearchJob Category: Scientific/TechnologyAll Job Posting Locations: Toledo, SpainJob Description: Principal Scientist, Biophysics/Biochemical DMTL AutomationLocation: Toledo, SpainLevel: Principal Scientist (ST7)Role Overview:We are seeking an innovative, highly collaborative, and self-directed Principal Scientist to advance next-generation biophysical and biochemical capabilities supporting Design-Make-Test-Learn (DMTL) workflows across Discovery within Discovery Technologies and Molecular Pharmacology (DTMP). Based in Toledo, Spain, this role will generate and interpret high-quality Surface Plasmon Resonance (SPR) and biochemical data to guide decisions from hit identification through lead optimization. The successful candidate will develop innovative assays, implement automated workflows, and partner across chemistry, biology, computational sciences, automation, and platform teams to accelerate DMTA cycles and strengthen the speed, quality, and predictability of discovery.

Key Responsibilities
Biophysical and Biochemical Assay Development & Discovery SupportDesign, develop, and execute SPR and biochemical assays to support hit validation and lead optimization across discovery programsGenerate and interpret kinetic, affinity,



thermodynamic, and biochemistry data to guide SAR and critical project decisions DMTAAcceleration & Data GenerationDeliver high-quality biophysical and biochemistry data that accelerates DMTL cycles and enables rapid, data-driven discovery decisionsDevelop robust and scalable experimental workflows that expand throughput and reproducibility across the portfolioTechnology Innovation & AutomationDrive the development and implementation of automated biophysical and biochemical lab design and workflows that increase experimental scale, consistency, and scientific impactPartner with automation, informatics, engineering, and platform teams across teams to integrate biophysical and biochemical capabilities into scalable DMTA workflows and next‑generation discovery platformsScientific Collaboration & Technical LeadershipAct as an independent scientist, identifying opportunities, solving complex technical challenges, and leading cross‑functional Discovery project teams to shape biophysical and biochemical strategies that advance project objectivesCollaborate across chemistry, biology, computational sciences, structural biology, automation, and data science within Integral Discovery Chemistry (GDC) and DTMP to translate biophysical and biochemical insights into portfolio decisionsQualifications EducationPh.
D. in Biophysics, Biochemistry, Structural Biology,



or a related scientific disciplineRequired Experience & Skills8+ years of experience developing and executing biophysical and biochemical assays in a pharmaceutical, biotechnology, or academic research environmentDemonstrated hands‑on expertise with SPR, complementary biophysical platforms, and biochemical techniquesDemonstrated ability to determine robust binding affinities and kinetic parameters, supported by appropriate experimental controls, replicates, error analysis, and scientific interpretationExperience with assay automation, high‑throughput experimentation, or laboratory roboticsStrong understanding of protein‑ligand interactions, kinetics, thermodynamics, and molecular mechanismsDemonstrated expertise in assay development, optimization, troubleshooting, data analysis, and curve fitting, beyond execution of established protocolsAbility to interpret complex biophysical and biochemical datasets and translate results into actionable drug discovery decisionsStrong scientific communication and collaborative problem‑solving skills, including the ability to present and defend data to multidisciplinary project teamsPreferred ExperienceExperience supporting Design‑Make‑Test‑Learn (DMTL) workflowsFamiliarity with computational chemistry, structural biology, or AI‑enabled drug discovery approachesExperience working in multidisciplinary teams spanning chemistry, biology, automation, and data sciencesNon‑Technical SkillsScientific curiosity, innovation mindset, and strong experimental judgmentCritical thinking with the ability to translate complex data into clear, actionable scientific insightsCollaborative, self‑directed, and effective in fast‑paced, highly matrixed environmentsRequired

Skills:
Preferred

Skills:
Big Data ManagementCritical ThinkingData Report

📌 Principal Scientist, Biophysics/Biochemical DMTL Automation (Toledo)
🏢 Johnson & Johnson
📍 Toledo