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PhD Position in Statistical Methods for Meta-Model Integration in Pharmacology
il y a 1 mois
Context and Advantages of the Position
The PhD student will be part of the PEPR DIGPHAT project, funded by the Governmental Acceleration Funding - PEPR Santé Numérique. The candidate will work with all partners of the project.
Mission
Context:
Pharmacology requires modeling mechanisms across various scales: molecular, cellular, and patient. Integrating these multiple scales is crucial to individualize treatments, including drug selection, optimal dosage, and associated regimens.
Despite the development of mechanistic models at each scale, there is still a lack of interoperability. Combining all relevant meta-models will create a comprehensive digital pharmacology twin.
Objectives:
To propose a general pathway towards pharmacological digital twins by integrating several multiscale and longitudinal meta-models. Digital twins that enable the a priori investigation of a treatment strategy and the dynamic assessment of the probability of success based on a patient's longitudinal features.
Main Activities:
Develop models for:
- checking the coherence of meta-models at the same level
- chaining meta-models across different scales
- estimating new patient trajectories
Additional Activities:
- Write articles
- Talk and poster at conferences
Requirements:
- Specialization in Biostatistics, Statistics or Mathematics
- R or Phyton coding skills
- Good English level appreciated
Benefits:
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
- Possibility of teleworking
- Flexible organization of working hours
- Professional equipment available
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
