Research Software Engineer in Deep Learning and Bioinformatics

King's College London

Job id: 081870. Wage: £37,332 – £41,024 each year, together with London Weighting Allowance.

Posted: 03 January 2024. Deadline: 30 January 2024.

Enterprise unit: College of Life Sciences & Medication. Division: Institute of Pharmaceutical Science.

Contact particulars:Dr Heba Sailem. [email protected]

Location: Waterloo Campus. Class: Analysis.

Job description

​We’re searching for a extremely motivated and expert Analysis Assistant to affix the Biomedical AI and Knowledge Science group led by Dr Sailem ( www.hebasailem.com ). You’ll contribute to cutting-edge analysis in machine and deep studying utilized to precision medication. As a part of our staff, you’ll play a key function in creating and implementing superior deep studying strategies centered on figuring out novel therapeutic targets and optimizing drug buildings.

​The candidate ought to have robust background in deep studying and have expertise in trendy deep studying fashions together with graph networks, transformers, GANs, and recommender methods. Experience in biomedical picture evaluation, bioinformatics and multi-omics improvement and curiosity to make use of such strategies to superior purposes in biology, drug improvement and precision medication. The perfect candidate ought to possess glorious interpersonal expertise, demonstrating a collaborative and cooperative strategy in the direction of teamwork.

This submit might attraction to candidates with background in laptop science or engineering and concerned with now creating expertise and expertise in biomedical analysis. Candidates with good expertise in bioinformatics, database administration, and visualisation strategies will even be thought-about.

​This can be a extremely collaborative venture with a number of establishments together with Oxford College, Cambridge College, and UCL as a part of TransNAT consortium –  https://www.transnat.org.uk/ .

This submit shall be supplied on a fixed-term​ contract for ​18 months with the potential to be prolonged​.

This submit is full time  – 100% full time equal.

Key tasks

  • Handle personal analysis and administrative actions.
  • ​Develop and apply deep studying algorithms for biomedical knowledge.
  • ​Work with large-scale picture knowledge units, together with complete slide H&E pictures, and multiplexed imaging knowledge to extract significant options and insights.
  • ​Collaborate with different staff members to develop and optimize knowledge pre-processing pipelines.
  • Design and implement experiments to guage and validate the developed algorithms and skilled deep studying fashions.
  • ​Contribute to constructing and preserve knowledge administration methods and knowledge lakes.
  • Publish analysis findings in peer-reviewed scientific journals and current outcomes at scientific conferences.

​​The above record of tasks will not be exhaustive, and the submit holder shall be required to undertake such duties and tasks as might fairly be anticipated throughout the scope and grading of the submit. ​

Abilities, data, and expertise

The candidate ought to have a primary diploma in computational sciences, engineering, or bioinformatics. They need to have good data and expertise in creating deep studying strategies, and dealing with large-scale actual world knowledge.

Important standards

  • Have a primary diploma in Machine Studying, Laptop Imaginative and prescient, Biomedical Engineering, Laptop Science, Bioinformatics, Computational Biology, or one other associated space.
  • ​Wonderful programming expertise in Python.
  • Wonderful communication expertise, each written and oral, together with the power to put in writing for publication, current analysis proposals and outcomes, and characterize the analysis group at conferences.
  • Good understanding of software program testing.
  • Show a powerful curiosity in interdisciplinary analysis.
  • Capacity to handle personal tutorial analysis and related actions.
  • ​Capacity to contribute concepts for brand new analysis tasks and analysis revenue era.
  • Fascinating standards

  • Expertise in coping with massive dataset and cloud computing.
  • Robust curiosity in biomedical purposes.
  • Expertise in large-scale image-based phenotyping within the wider sense.
  • Printed analysis in a related area in excessive profile journals.
  • ​Expertise of constructing trendy database methods
  • ​​

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