Manager, Facilities & S3 Systems
- Location
- Culver City, CA
- Listed
- 22 days ago
Dans le cadre de ce stage, vos missions seront
- Réaliser une revue de la littérature scientifique et synthétiser les connaissances pertinentes liées au projet.
- Analyser des jeux de données de pharmacologie préclinique et/ou clinique.
- Développer et évaluer des modèles quantitatifs de pharmacocinétique/pharmacodynamie (PK/PD), d' inhibition de la croissance tumorale (TGI), de pharmacocinétique physiologique (PBPK) et/ou des modèles exposition-réponse.
- Effectuer des simulations pour répondre à des problématiques de transposition préclinique-clinique et de développement clinique.
- Collaborer avec des équipes pluridisciplinaires intervenant dans les domaines de la découverte de médicaments, de la toxicologie, de la PK/PD translationnelle et de la pharmacologie clinique.
Les plus du stage
- Missions diversifiées
- Gratification attractive
- Possibilité de réaliser un jour de télétravail par semaine après un mois d'intégration
- Dotations produits
- Restaurant d'Entreprise ou Titres Restaurants
Le stage se déroulera sur notre site Langlade, à Toulouse (31) et débutera à partir de janvier 2027.
Merci d'indiquer vos dates de disponibilités dans votre CV.
Young People
Your role within a pioneering, rapidly expanding company.
The PK/PD Modeling & Simulation Team supports oncology drug discovery and development through quantitative translational science and model-informed drug development approaches. The team develops and applies pharmacokinetic (PK), pharmacodynamic (PD), population pharmacokinetic (PopPK), and physiologically based pharmacokinetic (PBPK) models to inform key decisions throughout the drug development process, from candidate selection to clinical development.
As part of the PK/PD Modeling & Simulation team, you will contribute to innovative quantitative pharmacology projects in oncology. Depending on the assigned project, you will participate in the development of mathematical models of tumor growth, translational PK/PD frameworks, or physiologically based pharmacokinetic (PBPK) models, as well as the analysis of preclinical and clinical datasets. Your work will support a better understanding of the relationship between drug exposure and efficacy, helping to advance the discovery and development of new anticancer therapies.
Your missions
- Conduct scientific literature reviews and synthesize relevant knowledge related to the project.
- Analyze preclinical and/or clinical pharmacology datasets.
- Develop and evaluate quantitative PK/PD, Tumor Growth Inhibition (TGI), PBPK, and/or exposure-response models.
- Perform simulations to address translational and clinical development questions.
- Collaborate with multidisciplinary teams across drug discovery, toxicology, translational PK/PD, and clinical pharmacology.
Internship Benefits
- Diverse and challenging assignments
- Competitive internship allowance
- Opportunity to work remotely one day per week after one month of onboarding
- Product gifts and allocations
- Company restaurant or meal vouchers
- The internship will take place at our Langlade site in Toulouse (31), France, and will start from January 2027.
- Please indicate your availability dates in your CV.
Who you are?
- Vos compétences au service de projets novateurs.
- Étudiant(e) en Master en pharmacométrie, sciences pharmaceutiques, génie biomédical, mathématiques appliquées, bio-informatique, biologie des systèmes ou dans une discipline équivalente.
- Excellentes capacités quantitatives, analytiques et de résolution de problèmes.
- Bonnes connaissances de base en pharmacocinétique (PK) et pharmacodynamie (PD).
- Maîtrise ou bonne connaissance de la programmation sous R et/ou Python.
- Intérêt marqué pour le développement de médicaments en oncologie et les approches de développement guidées par la modélisation.
- Connaissances des méthodes NLME (modèles non linéaires à effets mixtes), des modèles d' inhibition de la croissance tumorale (TGI) et/ou de la modélisation PBPK.
- Une expérience pratique des logiciels Monolix, Simcyp ou de la plateforme Open Systems Pharmacology (PK-Sim/MoBi) sera considérée comme un atout.
Put your skills to work on innovative projects
Master's student in Pharmacometrics, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, Bioinformatics, Systems Biology, or a related discipline.
- Strong quantitative and analytical skills.
- Basic understanding of pharmacokinetics and pharmacodynamics.
- Familiarity with R and/or Python programming.
- Interest in oncology drug development and model-informed drug development.
- Knowledge of NLME methods, TGI models and/or PBPK modeling.
- Hands-on experience in Monolix, Simcyp or Open Systems Pharmacology (PK-Sim/MoBi) is considered an advantage.
At Pierre Fabre Laboratories, we believe that our greatest asset is our people.
- The information collected by this application is solely to determine suitability for employment, verify identify, and maintain employment statistics on applicants.
- Please inform the company's personnel representative if you need assistance completing this application or to otherwise participate in the application process.
- Thus, we commit to considering all applications equally, without fail.
Who we are?
We are Pierre Fabre Laboratories, a global leader combining pharmaceutical expertise with dermo-cosmetics to support consumers and patients at every stage of their care journey.
Our portfolio includes several medical franchises and international brands such as Eau Thermale Avène, Ducray, A-Derma, Klorane, René Furterer, and Pierre Fabre Oral Care.
By joining us, you become part of a meaningful company where the human dimension is essential. You become a participant in the "We Care Movement," a movement that values excellence and innovation within passionate teams. Together, we push the boundaries of science to unite health and beauty for the benefit of all, because Every time we care for a single person, we make the whole world better.
Present in 120 countries with a team of over 10,000 employees, we are proud to create a scientific and human impact, today and tomorrow! If caring is at the heart of your values, join Pierre Fabre Laboratories and become a key player in the "We Care Movement".
Your mission
Votre rôle au sein d'une entreprise pionnière en pleine expansion.
L'équipe Modélisation et Simulation PK/PD accompagne la découverte et le développement de médicaments en oncologie grâce à des approches quantitatives de sciences translationnelles et au développement de médicaments guidé par la modélisation. Elle élabore et applique des modèles de pharmacocinétique (PK), de pharmacodynamie (PD), de pharmacocinétique de population (PopPK) et de pharmacocinétique physiologique (PBPK) afin d'éclairer les décisions clés tout au long du développement des médicaments, depuis la sélection des candidats jusqu'aux phases cliniques.
Au sein de l'équipe de modélisation et simulation PK/PD, vous contribuerez à des projets innovants de pharmacologie quantitative appliqués à l'oncologie. Selon le projet confié, vous participerez au développement de modèles mathématiques de croissance tumorale, de PK/PD translationnelle ou de pharmacocinétique physiologique (PBPK), ainsi qu'à l'analyse de données précliniques et cliniques. Vos travaux viseront à mieux comprendre la relation entre l'exposition aux traitements et leur efficacité, afin de soutenir la découverte et le développement de nouveaux médicaments anticancéreux.
Equal opportunity and legal notices
We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, sex, sexual orientation, gender identity or expression, age, physical or mental disability, veteran or military status, genetic information, or any other legally recognized protected basis under federal, state, or local law. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
From Spe's careers page, first listed on Rolev.ai on October 19, 2026. Rolev.ai is not the employer.
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Common questions
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This Manager, Facilities & S3 Systems position at Spe is located in Culver City, CA. Always check Spe's application page for specific state eligibility or relocation policies.
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