KINGS COLLEGE LONDON: Most cancers Laptop Scientist

Job description

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

This applicant will be a part of the multidisciplinary Most cancers Bioinformatics group (http://cancerbioinformatics.co.uk/) throughout 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 complete slide picture knowledge for digital pathology approaches.

Candidates ought to have a robust computational background and experience in coping with giant datasets. Wonderful programming, knowledge evaluation, statistics and deep studying abilities are required. Expertise with numerous molecular knowledge is fascinating. Candidates will maintain a postgraduate diploma or equal expertise in a related position. The perfect candidate needs to be enthusiastic about translating analytical approaches into scientific observe and extremely motivated to work in a fast-paced and extremely collaborative atmosphere.

The publish shall be based mostly in Dr Grigoriadis’ Most cancers Bioinformatics Staff at Man’s Most cancers Centre at Man’s Hospital and shall be anticipated to interface with colleagues, scientific 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 tasks

• 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 knowledge, interpret outcomes and corroborate findings in exterior datasets. 
• To arrange knowledge and workflows in such a manner that it may be shared with different collaborators. 
• To supervise the upkeep of data and documentation relating to the applied approaches and developed strategies. 
• To supply unbiased recommendation and take care of scientific and technical queries relating to knowledge evaluation and computational biology. 
• To have the ability to clarify high-dimensional knowledge 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 type the place crucial. 
• To contribute to discussions with research colleagues to establish and design applicable experiments. 
• To contribute to the manufacturing of research studies and publications. 
• To type efficient networks with colleagues in different teams of the division and with friends in King’s School London to make sure clean and efficient operating of the group’s services and to establish alternatives for the group to profit from services elsewhere. 
• To work with different members of the workforce to generate knowledge. 

Expertise, data, and expertise

Important standards

1. A related postgraduate diploma or equal expertise in a related position.  
2. MSc in computer science, bioinformatics or some other bioscience with a robust numerate part reminiscent of 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 not less than 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 laborious working. 
11. Potential to current complicated knowledge at conferences (inside and exterior audiences, together with worldwide conferences). 
12. Potential to analyse knowledge, meet deadlines, and write up ends in a well timed method. 

Fascinating standards

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