Cancer Research Scientist for Next-Generation Biomarkers

hace 21 horas


Madrid, Madrid, España Cnio A tiempo completo

We are seeking a highly motivated postdoctoral researcher to join our team at the Digital Genomics lab, focusing on cutting-edge cancer genomics research. Our laboratory is dedicated to advancing our understanding of how diverse genetic and environmental factors shape tumor development and translating this knowledge into clinical settings to provide better prognostic stratification and treatment selection for cancer patients.

This unique opportunity allows you to develop next-generation cancer biomarkers by leveraging mutational signatures, germline predisposition variants, and other cancer genomics features. You will have the chance to analyze mutational patterns in tumors, identify mutational processes active during tumorigenesis, and extract specific patterns of mutations known as mutational signatures using machine learning artificial intelligence (AI) approaches.

Mutational signatures can be assigned to individual tumors for patient-level analyses, as previously shown. We invite applications from postdoctoral researchers with a strong background in genomics/epigenomics/transcriptomics, human genetics, or related fields who are eager to shape the future of personalized cancer care.

Key Responsibilities:
  • Develop next-generation AI-driven cancer biomarkers based on different genomics alterations and apply them to routine clinical sequencing data.
  • Analyze diverse genomic data to assess population- and sex-specific differences in mutational processes, incorporating germline factors that influence cancer predisposition and progression.
  • Collaborate closely with national and international partners to refine and validate biomarkers for clinical application.
Required Skills and Qualifications:
  • PhD in biomedicine, computational biology, bioinformatics, machine learning, artificial intelligence, or related disciplines.
  • Experience in genomics/epigenomics/transcriptomics or human genetics.
  • Track record of publications and conference communications in the field.
  • Proficiency in at least one programming language (preferably R and/or Python).
  • Solid level of spoken and written English.
Benefits:
  • The opportunity to be part of an internationally renowned cancer research center of excellence.
  • Collaborative, supportive, and inclusive work environment.
  • Competitive salary: approximately $70,000 - $90,000 per year.


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