Summary: Join the Isidro Cortés-Ciriano group at EMBL-EBI to study the mutational processes and genome instability underlying tumorigenesis, immune escape, and drug response. Work on high-throughput sequencing data analysis for early cancer detection using long-read sequencing.
Designation: Postdoctoral Fellow
Research Area:
Early detection, cancer genomics, long-read sequencing data analysis.
Location:
Hinxton, Cambridgeshire (Hybrid Work Model)
Eligibility/Qualification:
- Required:
- PhD degree in life sciences (preferably computational biology, genomics, statistics, or a similar field).
- Strong analytical and programming skills (preferably in Python and R).
- Experience in computational genomics, particularly in cancer genomics, evidenced by a publication record.
- Ability to work independently and collaboratively.
- Proficient communication skills in both written and spoken English.
- Experience in Unix-based environments and high-performance computing.
- Preferred:
- Background in cancer biology.
- Experience in long-read sequencing data analysis.
Job Description:
As a Postdoctoral Fellow, you will lead the development of scalable computational solutions for sequencing data analysis. Your project will involve analyzing a unique collection of long-read whole-genome sequencing datasets from human tumors and cell-free DNA samples across multiple cancer types. You will have substantial freedom to design novel algorithms and explore hypotheses while collaborating closely with clinical and wet-lab teams.
How to Apply:
Interested candidates should submit a cover letter/motivation letter, CV, and two letters of recommendation. Applications should be uploaded through the EMBL online application system.
Last Date for Apply:
07/12/2025 (23:59 CET)
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