Senior Research Scientist – Computational Cancer Genomics

2 semanas atrás


Lisboa, Lisboa, Portugal Fundação Champalimaud Tempo inteiro
Job Title: Principal Investigator – Computational Cancer Genomics

At Fundação Champalimaud, we are seeking a highly skilled and motivated Principal Investigator to lead our research team in computational cancer genomics. The ideal candidate will have extensive experience in utilising cutting-edge sequencing platforms to advance our understanding of cancer biology and facilitate the translation of genomic discoveries into clinical applications.

Key Responsibilities:
  • Lead a dynamic research team focused on computational cancer genomics, providing scientific direction and mentoring junior staff;
  • Design and execute experiments utilising whole genome sequencing technologies to study cancer biology, including tumour evolution, clonal dynamics, and genomic alterations;
  • Develop and optimise bioinformatics pipelines for the analysis of WGS data, ensuring robust and reproducible results;
  • Implement best practices for data quality control, variant calling, and annotation to identify driver mutations, structural variants, and other genomic aberrations associated with cancer;
  • Collaborate with clinical partners to integrate genomic findings into precision medicine approaches for cancer diagnosis, prognosis, and treatment;
  • Stay abreast of advancements in third generation sequencing platforms and emerging technologies, evaluating their potential impact on cancer genomics research;
  • Publish research findings in high-impact peer-reviewed journals and present results at scientific conferences;
  • Contribute to grant writing and fundraising efforts to support ongoing research projects and secure additional funding for future initiatives.
Requirements:
  • Research Field: Biological sciences; Biology; Computer science; Informatics;
  • Education Level: PhD or equivalent;
  • Years of Research Experience: More than 10;
  • English level: Excellent;
Skills/Qualifications:
  • Ph.D. or equivalent degree in genetics, genomics, bioinformatics, or a related field;
  • Proven track record of research excellence in computational cancer genomics (at least 7 co-authored high impact factor publications), with a focus on whole genome sequencing analysis;
  • Expertise in bioinformatics analysis of cancer WGS data, including proficiency with programming languages (e.g. Python and R) and best practice bioinformatic pipelines including GATK, SAMtools, BWA, Manta, GRIDSS, IGV;
  • Experience (hands-on) with third-generation sequencing platforms (e.g., PacBio, Oxford Nanopore) and familiarity with long-read sequencing data analysis techniques;
  • Experience working with High-Performance Computing cluster environments (e.g., e.g.


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