Postdoctoral Research Fellow
Há 5 dias
Inria - COMPO team seeks a highly motivated Postdoctoral Research Fellow to join our multidisciplinary team focused on developing novel computational tools for decision-making in clinical oncology.
Estimated Salary: €45,000 - €50,000 per year
About the Role:
We are looking for an exceptional candidate with a strong background in applied mathematics and statistics to work on a project combining organoid technology with mathematics to develop innovative models mimicking tumor cellular heterogeneity and plasticity for pediatric oncology.
Main Responsibilities:
- Develop mechanistic mathematical models from patient-derived organoid data to propose novel drug combinations and scheduling regimens tackling intra-tumor resistance to treatment in pediatric rhabdomyosarcoma (RMS)
- Analyze bulk and single-cell omics data using existing methods such as CARDAMOM software for molecular data and mixed-effects pharmacokinetics/pharmacodynamics modeling of tumor response/resistance
- Collaborate with biological and clinical partners to validate models and translate results into clinical practice
- Publish research findings in top-tier scientific journals and present at international conferences
Requirements:
- PhD in Applied Mathematics, Statistics, or a related field
- Excellent programming skills in R and/or Python
- Experience with molecular data analysis and real-world biological and clinical data analysis
- Strong motivation for biological and medical computational methods
- Ability to work independently and as part of a team with good relational skills
Benefits:
- Partial reimbursement of public transport costs
- 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours)
- Possibility of teleworking and flexible organization of working hours
- Access to vocational training and professional equipment
About Inria - COMPO Team:
Located at Université Côte d'Azur, our team is composed of mathematicians, data scientists, pharmacists, and clinicians working together to develop novel computational tools for decision-making in clinical oncology. We offer a dynamic and collaborative environment with opportunities for professional growth and development.
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