Senior Bioinformatician

The Francis Crick Institute

Location: The Francis Crick Institute, Midland Road, London, NW1 1AT

Short summary

Dr Li’s laboratory investigates the functional implication of Wnt signalling pathway in intestinal stem cells, regeneration and cancer with emphasis of finding new tumour-specific targets. Her lab combines genetically engineered mouse models, patient-derived organoids, and advanced genomic tools to investigate how Wnt signalling and cell state plasticity contribute to homeostasis and disease, particularly in the context of therapy resistance in colorectal cancer.

Details of research projects currently being undertaken can be seen at: https://www.crick.ac.uk/vivian-li/.

We are looking for an ambitious, collaborative and self-motivated Senior Bioinformatician to work for Dr Li’s Stem Cell and Cancer Biology laboratory who can integrate functional CRISPR screens with single-cell and spatial transcriptomics to uncover the mechanisms driving cell state rewiring and therapeutic resistance in cancer.

This project is funded by CRUK Cancer Grand Challenges REWIRE-CAN programme.

Key Responsibilities

In this position you will be working as part of the Crick’s Bioinformatics & Biostatistics Scientific Technology Platform (STP), with your time dedicated to the Dr Li’s laboratory.

You will:

• Work collaboratively across the Stem Cell and Cancer Biology laboratory to co-design experiments, formulate analysis plans and interpret results.
• Perform standard and advanced analyses of high-dimensional, data-intensive and complex research questions across the biomedical research spectrum using bioinformatics, biostatistics, machine learning and AI approaches.
• Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills.
• Design innovative approaches for recurrent and novel projects, and deploy corresponding tools internally, across the Stem Cell and Cancer Biology laboratory and beyond.

Please click here for the full job description

About you

• PhD in Computational Cancer Biology or equivalent, or in the final stages of PhD submission*
• Evidence of applying computational/bioinformatic skill to address complex biological questions *
• Experience in single-cell RNA sequencing and spatial transcriptomic data analysis*
• Strong track record of research as evidenced by publications in referred journals*
• Strong written and oral communication skills as evidenced by data presentation at scientific meetings
• Experience in studying cellular plasticity using computational approach would have advantageous

Minimum criteria*

Please apply via the ‘Apply’ button above.