In sintesi
- Mansioni: Sviluppa e supporta modelli analitici per migliorare la produzione farmaceutica.
- Azienda: Johnson & Johnson, leader nell'innovazione sanitaria.
- Benefit: Stipendio competitivo, bonus annuale, giorni di ferie e programmi di benessere.
- Altre informazioni: Ambiente inclusivo con opportunità di crescita professionale.
- Perché questo lavoro: Fai la differenza nella salute globale con tecnologie all'avanguardia.
- Qualifiche: Laurea in Chimica o ingegneria chimica e esperienza in spettroscopia.
La retribuzione prevista è compresa tra 48600 - 77395 € per anno.
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 . As 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.
Job FunctionJob Sub FunctionJob CategoryAll Job Posting Locations:
Latina, Italy
Job Description
We 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. This 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. The 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.
Key ResponsibilitiesValidation, Deployment, and GMP Lifecycle Support
- Support validation and implementation of chemometric models used in GMP or GMP-adjacent environments.
- Use sound statistical reasoning to assess model performance, residuals, prediction error, bias, variance, outliers, and sources of model drift.
- Contribute to model validation protocols, validation reports, technical transfer packages, model maintenance plans, and lifecycle documentation.
- Troubleshoot deployed models, including investigation of spectral quality issues, unexpected predictions, drift, transfer challenges, and model or workflow failures.
- Support deployment of models into operational workflows, including collaboration with platform, laboratory, manufacturing, quality, IT, and automation partners.
- Help ensure model lifecycle activities are documented, traceable, and aligned with intended use, regulatory expectations, and internal quality procedures.
- Contribute to best practices for spectroscopic model development, validation, maintenance, troubleshooting, and lifecycle management.
Chemometric Model Development and Evaluation
- Develop, evaluate, and document chemometric models for spectroscopic PAT applications, including NIR, Raman, or related spectroscopic modalities.
- Apply multivariate data analysis methods such as Principal Component Analysis, Partial Least Squares regression, classification approaches.
- Utilize statistics to develop thresholds on key model outputs.
Other Tasks
- Learn and apply Python-based workflows for data analysis, model development, model evaluation, visualization, and automation.
- Use git or similar version control practices to support traceability, collaboration, and maintainable scientific code.
- Develop reusable analysis patterns, scripts, notebooks, and templates that improve consistency and efficiency across model development and lifecycle activities.
Required Qualifications
- Degree or higher in Chemistry, Chemical Engineering, or a related scientific or technical discipline.
- BS with 4+ years experience
- MS with 2+ years experience
- PhD, experience preferred
- Deep expertise with spectroscopy in at least one field or modality, such as NIR, Raman, MIR, UV-Vis, fluorescence, or related field.
- Experience developing, evaluating, or applying models to scientific, analytical, process, manufacturing, or laboratory data.
- Statistical fluency, including understanding of variation, bias, error, residuals, confidence, model performance, and experimental reasoning.
- Experience with at least one programming language, such as Python, MATLAB, R, or a similar scientific computing environment.
- Willingness to learn and apply Python for chemometric modeling, data analysis, automation, and reproducible model evaluation.
- Strong communication skills and the ability to work effectively in cross-functional scientific, technical, quality, and manufacturing teams.
- Ability to document technical work clearly and support decisions in a regulated or quality-sensitive environment.
Preferred Qualifications
- Direct experience with NIR or Raman spectroscopy in pharmaceutical, biopharmaceutical, chemical, food, materials, or other process-oriented applications.
- Experience developing or maintaining chemometric models for PAT, real-time release, process monitoring, laboratory testing, or manufacturing decision support.
- Practical experience with PLS regression, PCA-based monitoring, spectral preprocessing, calibration transfer, model robustness assessment, spectral quality attributes, or instrument-to-instrument transfer.
- Experience supporting models in GMP, GxP, regulated, quality-controlled, or highly documented environments.
- Experience with Python libraries used for scientific computing, data analysis, or modeling, such as pandas, NumPy, scikit-learn, SciPy, matplotlib, plotly, or related tools.
- Familiarity with git-based collaboration, pull requests, code review, version control, or reproducible analytical workflows.
- Familiarity with pharmaceutical manufacturing, process validation, analytical method validation, quality systems, or regulatory expectations for model-supported testing.
Required SkillsPreferred Skills:
- Analytical 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
The Anticipated Base Pay Range For This Position Is
€48,600.00 - €77,395.00
Benefits
In addition to base pay, we offer the following benefits*: an annual bonus 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.
- This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
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Sr. Scientist, Spectroscopy Lifecycle Support datore di lavoro: Johnson & Johnson Innovative Medicine
Johnson & Johnson è un datore di lavoro eccezionale, offrendo un ambiente di lavoro inclusivo e rispettoso della diversità, dove ogni dipendente è considerato come un individuo. Situata a Latina, l'azienda promuove opportunità di crescita professionale attraverso programmi di benessere e riconoscimento, oltre a vantaggi competitivi come congedi parentali estesi e bonus annuali legati alle performance. Lavorare qui significa contribuire a innovazioni che salvano vite, in un contesto stimolante e collaborativo.
Dettagli di contatto:
Team di recruiting di Johnson & Johnson Innovative Medicine
Consigli degli esperti StudySmarter🤫
Ecco come pensiamo che potresti ottenere Sr. Scientist, Spectroscopy Lifecycle Support
✨Sfrutta le community del settore
Unisciti a forum e gruppi online dedicati alle scienze e tecnologie alimentari. Partecipare a discussioni e condividere le tue idee può aiutarti a farti notare da professionisti del settore, e potrebbe aprire porte a opportunità di lavoro.
✨Partecipa a eventi di networking
Cerca eventi o conferenze nel tuo campo, come fiere alimentari e seminari scientifici. Questi eventi non solo ti permettono di incontrare esperti del settore, ma sono anche una grande occasione per ampliare il tuo networking e magari incontrare direttamente aziende come Johnson & Johnson Innovative Medicine.
✨Pensa a progetti pratici
Mostra il tuo interesse e le tue competenze attraverso progetti pratici. Potresti cimentarti in ricerche indipendenti o partecipare a progetti di ricerca universitari. Questo dimostra la tua passione e il tuo impegno, qualità molto apprezzate in un candidato.
✨Candidati direttamente sul nostro sito!
Non dimenticare di tenere d’occhio le offerte di lavoro su Johnson & Johnson Innovative Medicine. Applicare direttamente attraverso il nostro sito aumenta le tue possibilità di essere notato, in quanto le candidature vengono trattate con priorità. Non perdere questa opportunità!
Pensiamo che ti servano queste competenze per eccellere come Sr. Scientist, Spectroscopy Lifecycle Support
Alcuni consigli per la tua candidatura 🫡
Metti in evidenza le tue competenze tecniche:Nel tuo CV, assicurati di mettere in risalto le competenze tecniche specifiche per il settore delle scienze e tecnologie alimentari, come analisi chimiche o tecniche di lavorazione degli alimenti. Non dimenticare di includere eventuali certificazioni pertinenti che hai conseguito!
Dai spazio alla tua esperienza pratica:Se hai fatto tirocini, progetti lavorativi o esperienze di laboratorio, prenditi il tempo per descriverli nel dettaglio. Questo tipo di esperienza è fondamentale per i ruoli full-time nel nostro settore e dimostra la tua capacità di applicare le conoscenze teoriche nella pratica.
Scrivi una lettera di presentazione coinvolgente:Raccontaci perché sei appassionato delle scienze e tecnologie alimentari e perché vuoi lavorare con noi in Johnson & Johnson Innovative Medicine. Mostraci il tuo entusiasmo e la tua motivazione per accettare sfide e crescere nel campo!
Verifica il tuo profilo LinkedIn:Assicurati che il tuo profilo LinkedIn rispecchi il tuo CV e metta in evidenza le tue esperienze e competenze. È spesso un primo punto di contatto, quindi, fallo risaltare e non dimenticare di collegarlo alla tua applicazione su Johnson & Johnson Innovative Medicine.
Come prepararti a un colloquio di lavoro presso Johnson & Johnson Innovative Medicine
✨Studia i principi dell'industria alimentare
Prepara alcune domande sui principi scientifici e tecnologici che riguardano la produzione alimentare. Potrebbero chiederti di spiegare come diversi processi, come la pastorizzazione o la fermentazione, influenzano la qualità e la sicurezza degli alimenti.
✨Mostra la tua familiarità con le norme di sicurezza alimentare
Accertati di essere aggiornato sulle normative e gli standard di sicurezza alimentare, come l'HACCP. Durante l'intervista, dimostra di sapere come queste normative influenzano l'industria e come potresti contribuire a mantenerli.
✨Evidenzia le tue esperienze pratiche
Se hai avuto esperienze precedenti in laboratori o durante stage, parlane! È utile mostrare come le tue mani in pasta ti abbiano dato competenze pratiche che possono essere applicate direttamente nel lavoro a Johnson & Johnson Innovative Medicine come Sr. Scientist, Spectroscopy Lifecycle Support.
✨Preparati a casi studio dell'industria
Aspettati domande pratiche o casi studio che richiedono un'analisi critica. Gli intervistatori potrebbero chiederti come risolveresti un problema specifico nella produzione alimentare, quindi preparati a pensare ad alta voce e giustificare le tue scelte.