PhD studentship in translational modeling and simulation

Job description

  Job facts

In the translational Modeling and Simulation group of Pharmaceutical Sciences we are looking for a PhD research fellow. The aims of the 3-year fellowship are (i) to further develop and validate in vitro/in vivo prediction methods applicable to cancer immunotherapy and (ii) to build a multi-scale translational PK/PD (Pharmacokinetics/Pharmacodynamics) model framework for onco-immunology in collaboration with academic partners.

As a PhD research fellow you will:

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Develop PK/PD modeling strategies to improve human dose prediction for cancer immunotherapy based on in vitro and in vivo data

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Develop novel in vitro methods to investigate drug-induced immune cell activation driving the anti-cancer effect

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Refine in vitro/in vivo prediction methods for efficacy and safety

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Design and conduct cutting edge in vitro and in vivo experiments for in-silico model refinement and validation

·  Who we are

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 8,500 people from approximately 90 countries work in Basel, which is one of Roche`s largest sites. Read more .

Roche is an equal opportunity employer.

Desired profile

Who you are

You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

You are flexible, proactive and creative with excellent quantitative and data analysis skills. Team work is essential but you will also work independently.

You have:

·  A recent Master in Pharmacy, Biomedical Sciences, Biology or equivalent field
·  Broad knowledge on the drug development process of cancer immunotherapy and strategies to select starting dose in first-in-human trials
·  Good understanding of mechanistic PK models and PKPD concepts with a particular emphasis on monoclonal antibodies for cancer immunotherapy
·  Hands-on experience with data analysis and modeling software packages (R, Phoenix, Berkeley Madonna and Monolix)
·  Practical experience with in vitro techniques would be an asset but is not mandatory
·  Proven ability to present research data and results with proficiency in spoken and written English
·  Excellent inter-personal and communication skills/ability to build good working relations
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