The Cortes-Ciriano group studies the mutational processes and mechanisms of genome instability underpinning tumorigenesis, immune escape, and drug response through the analysis of multi-omic, high-throughput data of tumors and pre-clinical models.
Ultimately, we aim to uncover novel pharmacological targets for cancer therapy and biomarkers of drug response. More information about the group can be found on our website.Your roleWe invite applications for a Postdoctoral Fellow position in the field of cancer genomics. We are looking for an intrinsically motivated, talented, and hypothesis-driven individual with experience in analyzing high-throughput sequencing data sets. This position is an excellent opportunity for individuals looking to gain in-depth knowledge and expertise in cancer genomics and to develop bioinformatic skills for analyzing and interpreting large genomic data sets.
You will be expected to lead the development of scalable and creative computational solutions for cancer multi-omic data integration. Specifically, your project will involve developing computational pipelines for analyzing and interpreting Illlumina and Oxford Nanopore sequencing data (bulk and single-cell data) from human tumor samples that our clinical collaborators have collected. The results of these analyses will be combined with those obtained by major pan-cancer genome analysis efforts (e.g. PCAWG and Genomics England) in order to inform the design of additional sequencing experiments. It is essential that you are dedicated to lead your own project while also being a team player and willing to engage with our international collaborators. You will enjoy substantial freedom to design novel algorithms for sequencing data analysis and to explore your own hypotheses. Your project will benefit from close interactions with the clinical oncology laboratories generating the sequencing data.
Candidates interested in long-read sequencing data analysis are particularly encouraged to apply.You have
- PhD degree in the life sciences (preferably computational biology, statistics, or a similar field)
- 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 visualization of complex data sets
You might also have
- Background in cancer biology
- Wet-lab background
- Experience in long-read sequencing data analysis
Why join usAt EMBL-EBI, we help scientists realise the potential of ‘big data’ in biology by enabling them to exploit complex information to make discoveries that benefit mankind. Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. As part of the European Molecular Biology Laboratory (EMBL), we are a non-profit, intergovernmental organisation funded by over 20 member states and associate member states. We are located on the Wellcome Genome Campus near Cambridge in the UK, and our 600 staff are engineers, technicians, scientists and other professionals from all over the world.
EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.
We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else.
If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library.What else you need to knowTo apply please submit a covering letter, CV and a list of publications (including pre-prints and manuscripts under review) through our online system.
Applications are welcome from all nationalities and this will continue after Brexit. For more information please see our website. Visa information will be discussed in more depth with applicants selected for interview.
EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.