pAt Johnson Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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. /p pLearn more at jnj.com. /p pAs 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. /p h3Job Function /h3 pRD Product Development /p h3Job Sub Function /h3 pRD Digital /p h3Job Category /h3 pScientific/Technology /p h3All Job Posting Locations /h3 pLatina, Italy /p h3Job Description /h3 pWe 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. /p pThis 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. /p pThe 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. /p h3Key Responsibilities /h3 h3Validation, Deployment, and GMP Lifecycle Support /h3 ul liSupport validation and implementation of chemometric models used in GMP or GMP-adjacent environments. /li liUse sound statistical reasoning to assess model performance, residuals, prediction error, bias, variance, outliers, and sources of model drift. /li liContribute to model validation protocols, validation reports, technical transfer packages, model maintenance plans, and lifecycle documentation. /li liTroubleshoot deployed models, including investigation of spectral quality issues, unexpected predictions, drift, transfer challenges,



and model or workflow failures. /li liSupport deployment of models into operational workflows, including collaboration with platform, laboratory, manufacturing, quality, IT, and automation partners. /li liHelp ensure model lifecycle activities are documented, traceable, and aligned with intended use, regulatory expectations, and internal quality procedures. /li liContribute to best practices for spectroscopic model development, validation, maintenance, troubleshooting, and lifecycle management. /li /ul h3Chemometric Model Development and Evaluation /h3 ul liDevelop, evaluate, and document chemometric models for spectroscopic PAT applications, including NIR, Raman, or related spectroscopic modalities. /li liApply multivariate data analysis methods such as Principal Component Analysis, Partial Least Squares regression, classification approaches. /li liUtilize statistics to develop thresholds on key model outputs. /li /ul h3Other Tasks /h3 ul liLearn and apply Python-based workflows for data analysis, model development, model evaluation, visualization, and automation. /li liUse git or similar version control practices to support traceability, collaboration, and maintainable scientific code. /li liDevelop reusable analysis patterns, scripts, notebooks, and templates that improve consistency and efficiency across model development and lifecycle activities. /li /ul h3Required Qualifications /h3 ul liDegree or higher in Chemistry, Chemical Engineering, or a related scientific or technical discipline. ul liBS with 4+ years experience /li liMS with 2+ years experience /li liPhD, experience preferred /li /ul /li liDeep expertise with spectroscopy in at least one field or modality, such as NIR, Raman, MIR, UV-Vis, fluorescence, or related field. /li liExperience developing, evaluating, or applying models to scientific, analytical, process, manufacturing, or laboratory data. /li liStatistical fluency, including understanding of variation, bias, error, residuals, confidence, model performance, and experimental reasoning. /li liExperience with at least one programming language, such as Python, MATLAB, R, or a similar scientific computing environment. /li liWillingness to learn and apply Python for chemometric modeling, data analysis, automation, and reproducible model evaluation. /li liStrong communication skills and the ability to work effectively in cross-functional scientific, technical, quality, and manufacturing teams. /li liAbility to document technical work clearly and support decisions in a regulated or quality-sensitive environment.



/li /ul h3Preferred Qualifications /h3 ul liDirect experience with NIR or Raman spectroscopy in pharmaceutical, biopharmaceutical, chemical, food, materials, or other process-oriented applications. /li liExperience developing or maintaining chemometric models for PAT, real-time release, process monitoring, laboratory testing, or manufacturing decision support. /li liPractical experience with PLS regression, PCA-based monitoring, spectral preprocessing, calibration transfer, model robustness assessment, spectral quality attributes, or instrument-to-instrument transfer. /li liExperience supporting models in GMP, GxP, regulated, quality-controlled, or highly documented environments. /li liExperience with Python libraries used for scientific computing, data analysis, or modeling, such as pandas, NumPy, scikit-learn, SciPy, matplotlib, plotly, or related tools. /li liFamiliarity with git-based collaboration, pull requests, code review, version control, or reproducible analytical workflows. /li liFamiliarity with pharmaceutical manufacturing, process validation, analytical method validation, quality systems, or regulatory expectations for model-supported testing. /li /ul h3Required Skills: /h3 pAnalytical 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 /p h3Preferred Skills: /h3 pAnalytical 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 /p h3The anticipated base pay range for this position is: /h3 p€48,****** - €77,****** /p h3Benefits: /h3 pIn 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. /p p*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change. /p #J-*****-Ljbffr

📌 Sr. Scientist, Spectroscopy Lifecycle Support (Latina)
🏢 JJ
📍 Latina