Senior Computational Cancer Genomics Researcher

Há 7 dias

Lisboa, Lisboa, Portugal Fundação Champalimaud Tempo inteiro
Job Summary

We are seeking a highly skilled and motivated Principal Investigator with expertise in computational cancer genomics, specialising in whole genome sequencing (WGS) and the development and implementation of best practices informatic pipelines.

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. SLURM).
  • Expertise in bioinformatics analysis of RNAseq and single cell RNAseq data.
  • Experience in controlled-access data management.
  • Experience in developing and managing multicentre cancer genomics studies.
  • Strong communication and leadership skills, with the ability to work effectively in a collaborative research environment.
  • Demonstrated ability to secure research funding through grants or other mechanisms.
  • Prior experience managing research projects and supervising research staff and students is preferred.
What We Offer
  • Competitive fellowship commensurate with skills, qualifications and experience.
  • Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities.

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