Postdoc Fellow in Cancer Inequities

Postdoc Fellow in Cancer Inequities

EMBL-EBI - European Bioinformatics Institute

Hinxton, United Kingdom

The Cortes-Ciriano group studies the mutational processes and mechanisms of genome instability underpinning tumourigenesis, immune escape, and drug response through the analysis of high-throughput sequencing data from clinical samples. The group is also leading the development of novel approaches for early cancer detection using long-read sequencing. More information about the group can be found here.

Your role

We invite applications for a Postdoctoral Fellow position in the field of Cancer Inequities. We are looking for an intrinsically motivated, talented, and hypothesis-driven individual with experience in analysing high-throughput sequencing data sets and a passion for cancer inequities research.

This position represents a unique opportunity for individuals looking to gain in-depth knowledge and expertise in the study of the multifactorial basis of cancer inequities in the context of the Cancer Grand Challenge team SAMBAI, which involves world-leading investigators in this field and offers unparalleled opportunities for career development and growth. Working as part of the genomics analysis team of SAMBAI, you will interact with numerous researchers in the UK, US and Africa. More information about team SAMBAI can be found here

You will be expected to lead the development of scalable and creative computational solutions for sequencing data analysis with a strong focus on developing methods applicable in limited-resource settings and compatible with real-world clinical samples. Specifically, your project will involve developing computational methods for analysing a unique collection of thousands of short and long-read whole-genome sequencing data sets from breast, pancreatic and prostate tumours. A major aim of this role is to integrate social determinants of health, exposomics, germline genetics, tumour genomics and immune profiling data sets to decode the relative contribution and interactions of these factors to cancer inequities in underserved populations of African descent. Thus, it is essential that you are dedicated to lead your own project while also being a team player and willing to engage with our national and international collaborators.

You have

• PhD degree in the life sciences (preferably computational biology, genomics, statistics, or a similar field);
• Insatiable passion for Cancer Inequities research;
• Strong analytical and programming skills (preferably in python and R);
• Significant experience in computational genomics (ideally in cancer genomics) as evidenced by publication record;
• Demonstrated ability to work both independently and collaboratively with other group members and external collaborators;
• Proficient communication skills in both written and spoken English;
• Experience in Unix-based environments, high-performance computing and the development of reproducible data analysis pipelines using version control software;
• Data science skills, such as visualisation of complex data sets.

You may also have

• Experience in long-read sequencing data analysis is desired but not required.

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