KINGS COLLEGE LONDON: Most cancers Pc Scientist

Job description

In search of a extremely motivated Analysis Affiliate with experience in deep studying and spatial biology inside the area of translational most cancers research. The challenge will entail algorithm improvement and deployment of deep studying approaches for histomorphological characterisation of triple unfavourable breast cancers. By way of spatial transcriptomics, various transcriptional profiles shall be mapped to areas of curiosity to decipher immune cell inhabitants dynamics in triple unfavourable breast cancers. Subclonal and clonal T cell dynamics in these samples might be additional investigated utilizing TCR-sequencing.  

This applicant will be a part of the multidisciplinary Most cancers Bioinformatics group (http://cancerbioinformatics.co.uk/) inside the Breast Most cancers Now Analysis Unit at King’s School London whose collective goals are to implement computational approaches for the built-in multi-modal analyses from mannequin methods and affected person research of triple-negative breast cancers. We lead on the most recent applied sciences to carry out subcellular spatial transcriptomics and maintain a wealth of entire slide picture information for digital pathology approaches.

Candidates ought to have a powerful computational background and experience in coping with massive datasets. Wonderful programming, information evaluation, statistics and deep studying abilities are required. Expertise with various molecular information is fascinating. Candidates will maintain a postgraduate diploma or equal expertise in a related function. The perfect candidate ought to be keen about translating analytical approaches into medical observe and extremely motivated to work in a fast-paced and extremely collaborative surroundings.

The publish shall be primarily based in Dr Grigoriadis’ Most cancers Bioinformatics Group at Man’s Most cancers Centre at Man’s Hospital and shall be anticipated to interface with colleagues, medical investigators, and different research fellows throughout design, improvement and testing of algorithm.  

This publish shall be supplied as a fixed-term contract for 12 months.

The is a full-time publish – 100% full time equal.

Key duties

• To have the ability to develop, implement, and adapt novel deep studying approaches.  
• To have the ability to use customary statistical and bioinformatics approaches. 
• To be liable for establishing workflows to course of and combine multi-modal omics information, interpret outcomes and corroborate findings in exterior datasets. 
• To arrange information and workflows in such a approach that it may be shared with different collaborators. 
• To supervise the upkeep of knowledge and documentation relating to the carried out approaches and developed strategies. 
• To supply impartial recommendation and cope with scientific and technical queries relating to information evaluation and computational biology. 
• To have the ability to clarify high-dimensional information evaluation to computational biologists, bioinformaticians and non-computational biologists. 
• To arrange his/her work within the type of a manuscript for publications and presentation at native and worldwide research conferences. 
• To current outcomes throughout group conferences and in written/determine kind the place mandatory. 
• To contribute to discussions with research colleagues to establish and design applicable experiments. 
• To contribute to the manufacturing of research stories and publications. 
• To kind efficient networks with colleagues in different teams of the division and with friends in King’s School London to make sure easy and efficient working of the group’s services and to establish alternatives for the group to learn from services elsewhere. 
• To work with different members of the group to generate information. 

Abilities, data, and expertise

Important standards

1. A related postgraduate diploma or equal expertise in a related function.  
2. MSc in computer science, bioinformatics or another bioscience with a powerful numerate element akin to arithmetic or statistics.  
3. Earlier expertise with deep studying methodologies, notably in computer imaginative and prescient 
4. Understanding of genomics and transcriptomics. 
5. Fluent in at the least one statistical programming language (e.g. R or Matlab). 
6. Fluent in as least one programming language (e.g. Shell, Perl, Python, or C++). 
7. Expertise with computer imaginative and prescient, machine learning and deep studying libraries (e.g.  OpenCV, Scikit-learn, Pytorch, Tensorflow) 
8. Expertise with HPC environments. 
9. Wonderful interpersonal and communication skills and the flexibility to liaise with different group members. 
10. Extremely self-motivated and exhausting working. 
11. Skill to current complicated information at conferences (inside and exterior audiences, together with worldwide conferences). 
12. Skill to analyse information, meet deadlines, and write up leads to a well timed method. 

Fascinating standards

• Expertise in collaborating with clinicians and wet-lab scientists. 
• Motivated to realize additional coaching in superior deep studying methodologies. 
• Skill to prioritise workloads, meet deadlines and organise work accordingly. 
• Writing and publishing in peer reviewed journals