ppAt 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 jnj.com . /ppAs 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. /ph3Job Function /h3pRD Product Development /ph3Job Sub Function /h3pRD Digital /ph3Job Category /h3pScientific/Technology /ph3All Job Posting Locations /h3pLatina, Italy /ph3Job Description /h3pWe are seeking a Sr. Scientist in Spectroscopy and PAT Model Lifecycle Support to join ANVIL, the ApplicatioNs, Validation, Integration, and Lifecycle group within the Process Science Modelling and Data (PSMD) organization in Manufacturing Science and Technology (MSAT). ANVIL supports the development, validation, deployment, integration, troubleshooting, and lifecycle maintenance of models used to support manufacturing, including models deployed or intended for use in GMP environments. /ppThis role will focus on spectroscopic Process Analytical Technology models, with particular emphasis on near-infrared spectroscopy and Raman spectroscopy. The successful candidate will help sustain and develop chemometric models that support product and process understanding, real-time or near-real-time decision making, and reliable operation of model-enabled workflows across manufacturing and laboratory environments. /ppThe ideal candidate will bring hands‑on experience with spectroscopy, multivariate modeling, and data analysis, along with a practical interest in applying these skills in regulated pharmaceutical manufacturing. The candidate should be comfortable working across scientific, technical, quality, and operational boundaries, translating complex model behavior into clear decisions, documentation, and recommendations. /ph3Key Responsibilities /h3h3Validation, Deployment, and GMP Lifecycle Support /h3ulliSupport validation and implementation of chemometric models used in GMP or GMP‑adjacent environments. /liliUse sound statistical reasoning to assess model performance, residuals, prediction error, bias, variance, outliers, and sources of model drift. /liliContribute to model validation protocols, validation reports, technical transfer packages, model maintenance plans, and lifecycle documentation. /liliTroubleshoot deployed models,

including investigation of spectral quality issues, unexpected predictions, drift, transfer challenges, and model or workflow failures. /liliSupport deployment of models into operational workflows, including collaboration with platform, laboratory, manufacturing, quality, IT, and automation partners. /liliHelp ensure model lifecycle activities are documented, traceable, and aligned with intended use, regulatory expectations, and internal quality procedures. /liliContribute to best practices for spectroscopic model development, validation, maintenance, troubleshooting, and lifecycle management. /li /ulh3Chemometric Model Development and Evaluation /h3ulliDevelop, evaluate, and document chemometric models for spectroscopic PAT applications, including NIR, Raman, or related spectroscopic modalities. /liliApply multivariate data analysis methods such as Principal Component Analysis, Partial Least Squares regression, classification approaches. /liliUtilize statistics to develop thresholds on key model outputs. /li /ulh3Other Tasks /h3ulliLearn and apply Python‑based workflows for data analysis, model development, model evaluation, visualization, and automation. /liliUse git or similar version control practices to support traceability, collaboration, and maintainable scientific code. /liliDevelop reusable analysis patterns, scripts, notebooks, and templates that improve consistency and efficiency across model development and lifecycle activities. /li /ulh3Required Qualifications /h3ulliDegree or higher in Chemistry, Chemical Engineering, or a related scientific or technical discipline. BS with 4+ years experience /liliMS with 2+ years experience /liliPhD, experience preferred /liliDeep expertise with spectroscopy in at least one field or modality, such as NIR, Raman, MIR, UV-Vis, fluorescence, or related field. /liliExperience developing, evaluating, or applying models to scientific, analytical, process, manufacturing, or laboratory data. /liliStatistical fluency, including understanding of variation, bias, error, residuals, confidence, model performance, and experimental reasoning. /liliExperience with at least one programming language, such as Python, MATLAB, R, or a similar scientific computing environment. /liliWillingness to learn and apply Python for chemometric modeling, data analysis, automation, and reproducible model evaluation.

/liliStrong communication skills and the ability to work effectively in cross‑functional scientific, technical, quality, and manufacturing teams. /liliAbility to document technical work clearly and support decisions in a regulated or quality‑sensitive environment. /li /ulh3Preferred Qualifications /h3ulliDirect experience with NIR or Raman spectroscopy in pharmaceutical, biopharmaceutical, chemical, food, materials, or other process‑oriented applications. /liliExperience developing or maintaining chemometric models for PAT, real‑time release, process monitoring, laboratory testing, or manufacturing decision support. /liliPractical experience with PLS regression, PCA‑based monitoring, spectral preprocessing, calibration transfer, model robustness assessment, spectral quality attributes, or instrument‑to‑instrument transfer. /liliExperience supporting models in GMP, GxP, regulated, quality‑controlled, or highly documented environments. /liliExperience with Python libraries used for scientific computing, data analysis, or modeling, such as pandas, NumPy, scikit‑learn, SciPy, matplotlib, plotly, or related tools. /liliFamiliarity with git‑based collaboration, pull requests, code review, version control, or reproducible analytical workflows. /liliFamiliarity with pharmaceutical manufacturing, process validation, analytical method validation, quality systems, or regulatory expectations for model‑supported testing. /li /ulh3Preferred Skills /h3pAnalytical Reasoning, Critical Thinking, Data Savvy, Digital Fluency, Digital Strategy, Engineering, Product Design, Product Development, Product Improvements, Product Portfolio Management, Report Writing, Research and Development, Safety‑Oriented, SAP Product Lifecycle Management, Statistics, Technical Credibility, Technologically Savvy /ph3Salary /h3pThe anticipated base pay range for this position is:br€48,600.00 - €77,395.00 /ph3Benefits /h3pIn addition to base pay, we offer the following benefits*: an annual premio 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. /pp*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change. /p /p #J-18808-Ljbffr

Sr. Scientist, Spectroscopy Lifecycle Support

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