Sanofi-Aventis Deutschland GmbH
Scientist Protein Analytics(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Frankfurt am Main
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SASanofi
Scientist, Pharmacometrician(m/w/x)
Frankfurt am Main
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Conducting pharmacometric modeling and simulation for drug development at an R&D biopharma company, including popPK model validation. PhD in pharmacometrics or related quantitative field required; PK/PD modeling application track record essential. Work in an AI-powered biopharma R&D environment.
Anforderungen
- PhD in pharmacometrics, pharmaceutical sciences, applied mathematics, systems biology, bioengineering, bioinformatics, or related quantitative field
- Experience in pharmaceutical industry, regulatory agencies, or academia (desirable)
- Track record of PK/PD modeling & simulation application in drug development
- Proficiency in pharmacometrics software tools and programming languages
- Solid understanding of ADME principles across multiple modalities
- Expertise in machine learning applications in drug development (beneficial)
- Experience with real-world preclinical and clinical PK/PD data analysis
- Knowledge of regulatory guidelines and industry best practices
- Strategic thinking and ability to identify model-informed drug development opportunities
- Problem-solving skills for complex pharmacological questions
- Communication excellence for conveying technical concepts
- Collaborative mindset for matrix organizations and international teams
- Scientific rigor in model development, validation, and documentation
- Excellent written and verbal communication skills in English
- German language skills (advantageous)
Aufgaben
- Conduct early feasibility analyses (EFA).
- Perform NCA and empirical PK/PD modeling.
- Characterize drug exposure-response relationships.
- Impact in vivo study designs.
- Develop and validate population PK (popPK) models.
- Apply advanced mixed-effects modeling.
- Apply physiologically-based PK (PBPK) modeling.
- Apply translational modeling approaches to bridge data.
- Establish in vitro in vivo correlations (IVIVC).
- Conduct and evaluate allometric scaling to predict human PK.
- Apply and integrate innovative machine learning methods.
- Apply and integrate descriptive statistics.
- Extract insights from complex datasets.
- Develop predictive and descriptive models using R, Python, Julia.
- Support automated workflows and visualization tools.
- Enhance modeling efficiency.
- Represent pharmacometrics in cross-functional teams.
- Provide strategic modeling guidance.
- Guide target identification to candidate selection.
- Support first-in-human (FIH) dose selection.
- Optimize clinical study designs.
- Collaborate with in vitro, in vivo, toxicology, and biostatistics.
- Contribute to regulatory submissions.
- Interact with health authorities as needed.
- Present findings at internal meetings and scientific conferences.
- Publish research to advance pharmacometrics.
- Prepare comprehensive modeling reports.
- Prepare regulatory documents.
- Mentor junior scientists.
- Contribute to team capability building.
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- R
- Python
- Julia
- Pumas
- OSP-suite (PK-Sim/MoBi)
- SimCyp
- NONMEM
- Monolix
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Sanofi erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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SASanofi
Scientist, Pharmacometrician(m/w/x)
Frankfurt am Main
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Conducting pharmacometric modeling and simulation for drug development at an R&D biopharma company, including popPK model validation. PhD in pharmacometrics or related quantitative field required; PK/PD modeling application track record essential. Work in an AI-powered biopharma R&D environment.
Anforderungen
- PhD in pharmacometrics, pharmaceutical sciences, applied mathematics, systems biology, bioengineering, bioinformatics, or related quantitative field
- Experience in pharmaceutical industry, regulatory agencies, or academia (desirable)
- Track record of PK/PD modeling & simulation application in drug development
- Proficiency in pharmacometrics software tools and programming languages
- Solid understanding of ADME principles across multiple modalities
- Expertise in machine learning applications in drug development (beneficial)
- Experience with real-world preclinical and clinical PK/PD data analysis
- Knowledge of regulatory guidelines and industry best practices
- Strategic thinking and ability to identify model-informed drug development opportunities
- Problem-solving skills for complex pharmacological questions
- Communication excellence for conveying technical concepts
- Collaborative mindset for matrix organizations and international teams
- Scientific rigor in model development, validation, and documentation
- Excellent written and verbal communication skills in English
- German language skills (advantageous)
Aufgaben
- Conduct early feasibility analyses (EFA).
- Perform NCA and empirical PK/PD modeling.
- Characterize drug exposure-response relationships.
- Impact in vivo study designs.
- Develop and validate population PK (popPK) models.
- Apply advanced mixed-effects modeling.
- Apply physiologically-based PK (PBPK) modeling.
- Apply translational modeling approaches to bridge data.
- Establish in vitro in vivo correlations (IVIVC).
- Conduct and evaluate allometric scaling to predict human PK.
- Apply and integrate innovative machine learning methods.
- Apply and integrate descriptive statistics.
- Extract insights from complex datasets.
- Develop predictive and descriptive models using R, Python, Julia.
- Support automated workflows and visualization tools.
- Enhance modeling efficiency.
- Represent pharmacometrics in cross-functional teams.
- Provide strategic modeling guidance.
- Guide target identification to candidate selection.
- Support first-in-human (FIH) dose selection.
- Optimize clinical study designs.
- Collaborate with in vitro, in vivo, toxicology, and biostatistics.
- Contribute to regulatory submissions.
- Interact with health authorities as needed.
- Present findings at internal meetings and scientific conferences.
- Publish research to advance pharmacometrics.
- Prepare comprehensive modeling reports.
- Prepare regulatory documents.
- Mentor junior scientists.
- Contribute to team capability building.
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- R
- Python
- Julia
- Pumas
- OSP-suite (PK-Sim/MoBi)
- SimCyp
- NONMEM
- Monolix
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Sanofi erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Sanofi
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen ist ein forschendes Biopharma-Unternehmen, das KI anwendet und sich dafür einsetzt, das Leben der Menschen zu verbessern.
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