Postdoctoral Research Fellow

Há 5 dias


Porto, Porto, Portugal Inria - Compo Team Tempo inteiro

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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