Fixed-term: The funds for this post are available for 24 months in the first instance.

The Wellcome – MRC Cambridge Stem Cell Institute is an international centre of excellence for stem cell research and regenerative medicine. Scientists collaborate to advance our knowledge of various stem cell types and perform pioneering work in translational research areas, to found new medical treatments ().

The laboratories of Dr Mohorianu and Dr Basu develop novel bulk and single-cell NGS approaches. They then design machine-learning methods for integrating these datasets underlining causality by inferring Gene Regulatory Networks (GRNs).

This project will be carried out in collaboration with Prof Ludovic Vallier (BIH, Germany) interested in predicting disease evolution using multi-omics single-cell data, Dr Shamith Samarajiwa (Imperial College, UK) interested in enhancer-promoter networks and Dr Kevin Chalut (Altos Labs, UK) interested in nuclear mechanotransduction.

The joint project shares two aims: [1] to develop pipelines for integrating a range of state-of-the-art NGS datasets (chromosome conformation capture, CUT&Tag/ChIP-seq, RNAseq) including single-cell Hi-C, [2] to characterise GRN and enhancer-promoter network dynamics throughout normal development or disease progression and harness the predictive power of multi-omics measurements for inferring lineage specification trajectories or for inferring the gene-driven evolution of a disease.

For this joint project, we are looking for a dedicated data scientist, at post-doctoral level. They will work alongside wet-lab researchers who are generating the datasets which will be analysed.

Requirements: Successful applicants should have a PhD* in the field of data science, applied mathematics or computer science or be within 6 months of the completion of their PhD. Additional technical expertise useful for this position include analysis and integration of NGS datasets: bulk or single-cell RNAseq, CUT&Tag, ChIP-seq, Hi-C/Micro-C, ATACseq, BSseq. It is essential that the post-holder is organised, able to work collaboratively as a member of a team and can communicate effectively and clearly.

*Appointment at Research Associate level is dependent on having a PhD or an equivalent research doctorate. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once PhD has been awarded.

Start date is flexible but ideally January-February 2023.

Closing Date: 8th January 2023Interview Date: 19th January 2023

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.