Novartis Pharma AG
Translational Medicine Academy fellow for Pharmacokinetics Sciences Modeling & Simulaton(m/w/x)
Full-timeOn-siteNot specified
Basel
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NONovartis Pharma AG
Translational Medicine Academy fellow for Pharmacokinetics Sciences Modeling & Simulaton(m/w/x)
Basel
Full-timeOn-site
Nejo AI Summary
Developing physiology-based PK/PD modeling frameworks linking drug exposure to B-cell and plasma cell kinetics. PhD in quantitative sciences and hands-on mechanistic modeling experience required. Cross-functional exposure, thematic introduction series.
Requirements
- PhD in quantitative pharmacology/pharmacometrics, bioengineering, systems biology, applied mathematics, biostatistics, computational biology, or related discipline
- Hands-on experience building and evaluating mechanistic models (ODE/PDE, compartmental, systems pharmacology, PK/PD)
- Programming proficiency in Python, R, or MATLAB SimBiology; reproducible, modular, well-documented code
- Experience with biological datasets (preclinical/clinical): cleaning, visualization, model fitting, interpretation
- Strong communication and collaboration skills; translate complex quantitative findings into clear biological/project implications
- Background in immunology, particularly B-cell biology, lymphoid tissue organization, or immune cell trafficking
- Experience modeling biologics and/or cell therapies, including target engagement and cell-killing dynamics
- Familiarity with PBPK or multi-compartment modeling of immune-cell dynamics in cell-based and T-cell-redirecting therapies
- Familiarity with PBPK concepts and software (mrgsolve, nlmixr2, NONMEM, Monolix, SimBiology, Stan, or comparable)
- Coding portfolio related to mechanistic modelling or systems biology
- Eligibility to work in Switzerland
Tasks
- Develop physiology-based PK/PD modeling framework
- Link drug exposure to B-cell and plasma cell kinetics
- Integrate translational evidence from in vitro, in vivo, and early clinical data
- Estimate parameters and quantify uncertainty
- Connect tissue depletion kinetics to immune-reset biomarkers
- Inform decision-making for B-cell depleting modalities
- Communicate results through presentations, reports, and manuscripts
- Partner with immunology, translational, and modeling stakeholders
- Own end-to-end, production-ready modeling platform
- Expand expertise in quantitative pharmacology and immunology
- Optimize dose and schedule for B-cell depleting therapies
- Experience impact of translational modeling in drug development
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- MATLAB SimBiology
- mrgsolve
- nlmixr2
- NONMEM
- Monolix
- SimBiology
- Stan
Benefits
Mentorship & Coaching
- Training and mentorship
Learning & Development
- Continuous learning
- Soft skills development
Diverse Work
- Cross-functional exposure
Other Benefits
- Thematic introduction series
- Reasonable accommodation for disability
Career Advancement
- Internal and external visibility opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Novartis Pharma AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NONovartis Pharma AG
Translational Medicine Academy fellow for Pharmacokinetics Sciences Modeling & Simulaton(m/w/x)
Basel
Full-timeOn-site
Nejo AI Summary
Developing physiology-based PK/PD modeling frameworks linking drug exposure to B-cell and plasma cell kinetics. PhD in quantitative sciences and hands-on mechanistic modeling experience required. Cross-functional exposure, thematic introduction series.
Requirements
- PhD in quantitative pharmacology/pharmacometrics, bioengineering, systems biology, applied mathematics, biostatistics, computational biology, or related discipline
- Hands-on experience building and evaluating mechanistic models (ODE/PDE, compartmental, systems pharmacology, PK/PD)
- Programming proficiency in Python, R, or MATLAB SimBiology; reproducible, modular, well-documented code
- Experience with biological datasets (preclinical/clinical): cleaning, visualization, model fitting, interpretation
- Strong communication and collaboration skills; translate complex quantitative findings into clear biological/project implications
- Background in immunology, particularly B-cell biology, lymphoid tissue organization, or immune cell trafficking
- Experience modeling biologics and/or cell therapies, including target engagement and cell-killing dynamics
- Familiarity with PBPK or multi-compartment modeling of immune-cell dynamics in cell-based and T-cell-redirecting therapies
- Familiarity with PBPK concepts and software (mrgsolve, nlmixr2, NONMEM, Monolix, SimBiology, Stan, or comparable)
- Coding portfolio related to mechanistic modelling or systems biology
- Eligibility to work in Switzerland
Tasks
- Develop physiology-based PK/PD modeling framework
- Link drug exposure to B-cell and plasma cell kinetics
- Integrate translational evidence from in vitro, in vivo, and early clinical data
- Estimate parameters and quantify uncertainty
- Connect tissue depletion kinetics to immune-reset biomarkers
- Inform decision-making for B-cell depleting modalities
- Communicate results through presentations, reports, and manuscripts
- Partner with immunology, translational, and modeling stakeholders
- Own end-to-end, production-ready modeling platform
- Expand expertise in quantitative pharmacology and immunology
- Optimize dose and schedule for B-cell depleting therapies
- Experience impact of translational modeling in drug development
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- MATLAB SimBiology
- mrgsolve
- nlmixr2
- NONMEM
- Monolix
- SimBiology
- Stan
Benefits
Mentorship & Coaching
- Training and mentorship
Learning & Development
- Continuous learning
- Soft skills development
Diverse Work
- Cross-functional exposure
Other Benefits
- Thematic introduction series
- Reasonable accommodation for disability
Career Advancement
- Internal and external visibility opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Novartis Pharma AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Novartis Pharma AG
Industry
Pharmaceuticals
Description
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
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