Principal Scientist, Biophysics/Biochemical DMTL Automation

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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. Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción. Job Function: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Biological Research Job Category: Scientific/Technology All Job Posting Locations: Toledo, Spain

Job Description
Principal Scientist, Biophysics/Biochemical DMTL Automation

Location:
Toledo, Spain Level: 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 Support o Design, develop, and execute SPR and biochemical assays to support hit validation and lead optimization across discovery programs o Generate and interpret kinetic, affinity, thermodynamic, and biochemistry data to guide SAR and critical project decisions DMTA
* Acceleration & Data Generation o Deliver high-quality biophysical and biochemistry data that accelerates DMTL cycles and enables rapid, data-driven discovery decisions o Develop robust and scalable experimental workflows that expand throughput and reproducibility across the portfolio
* Technology Innovation & Automation o Drive the development and implementation of automated biophysical and biochemical lab design and workflows that increase experimental scale, consistency, and scientific impact o Partner with automation, informatics, engineering, and platform teams across teams to integrate biophysical and biochemical capabilities into scalable DMTA workflows and next‐generation discovery platforms
* Scientific Collaboration & Technical Leadership o Act 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 objectives o Collaborate across chemistry, biology, computational sciences, structural biology, automation, and data science within Global Discovery Chemistry (GDC) and DTMP to translate biophysical and biochemical insights into portfolio decisions Qualifications Education
* Ph.
D. in Biophysics, Biochemistry, Structural Biology, or a related scientific discipline Required Experience & Skills
* 8+ years of experience developing and executing biophysical and biochemical assays in a pharmaceutical, biotechnology, or academic research environment
* Demonstrated hands‐on expertise with SPR, complementary biophysical platforms, and biochemical techniques
* Demonstrated ability to determine robust binding affinities and kinetic parameters, supported by appropriate experimental controls, replicates, error analysis, and scientific interpretation
* Experience with assay automation, high‐throughput experimentation, or laboratory robotics
* Strong understanding of protein‐ligand interactions, kinetics, thermodynamics, and molecular mechanisms
* Demonstrated expertise in assay development, optimization, troubleshooting, data analysis, and curve fitting, beyond execution of established protocols
* Ability to interpret complex biophysical and biochemical datasets and translate results into actionable drug discovery decisions
* Strong scientific communication and collaborative problem‐solving skills, including the ability to present and defend data to multidisciplinary project teams Preferred Experience
* Experience supporting Design‐Make‐Test‐Learn (DMTL) workflows
* Familiarity with computational chemistry, structural biology, or AI‐enabled drug discovery approaches
* Experience working in multidisciplinary teams spanning chemistry, biology, automation, and data sciences Non‐Technical Skills
* Scientific curiosity, innovation mindset, and strong experimental judgment
* Critical thinking with the ability to t