Work Placement / Internship

Computational Biology Industrial Placement

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Science and Technology Facilities Council

The Computational Biology Group, a part of the Computational Science and Engineering Division, develops and applies computational methods for understanding the molecular basis of life. We develop software for processing various kinds of experimental data, and for organising storage of data. We also have expertise in modelling and simulating biological systems.

Our work contributes to the fundamental understanding of how genes and proteins operate, and has applications in drug development, crop science and environmental monitoring. We are particularly interested in computationally challenging problems, and apply high performance computing and data intensive computing methods.

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Project Details

The project undertaken by the student will form part of an existing cross group collaboration between the computational biology group and the computational engineering group to develop new simulation capability for very large biological problems. With new advances in experimental structure determination, it will soon be possible to access a huge wealth of structural information about large biological structures that are impractically difficult to study with current simulation methods. This project will form a small part of a larger long running project to develop new simulation capabilities to target this exciting new area.

Summary of Key Duties & Responsibilities

  • Develop new scientific simulation tools and utilities as part of an existing team assembled from multiple disciplines specialising in large-scale simulation.
  • Test new models for biomolecular simulation on very large biological systems
  • Work with experimental data, form complex inputs for and interpret results from simulations.

In order to apply for this role you must have:

Essential:

  • At university, enrolled on an undergraduate degree course and required or have requested to take a year out of studies to gain experience within industry.
  • Right to live and work in the UK
  • A strong background in the life sciences with a keen interest in simulation
  • Strong communication skills both written and oral
  • Demonstrable experience using a Linux Operating System
  • Understanding of parallel computation
  • Experience in Public Engagement.

Desirable:

  • Knowledge of proteins and in running biomolecular simulations
  • Experience with parallel coding using MPI
  • Demonstrable experience writing C/C++ applications
  • Experience with data postprocessing and analysis.

The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation where curiosity-driven, blue-skies thinking meets practical, application-led science and engineering. Our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world.

One of Europe’s largest research organisations, we’re trusted to support, enable and undertake cutting-edge projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science, engineering, computing and technology. Our research seeks to understand the Universe from the largest astronomical scales to the tiniest constituents of matter, yet creates impact on a very tangible, human scale.

About UKRI

UK Research and Innovation brings together the nine organisations to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. 

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How to Apply

Job ID Number: 20000034

Online applications only for this role. Please submit your CV and a covering letter which clearly outlines how you fulfil the criteria specified along with your motivation for STFC and the role you’re applying for. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit your application without a covering letter may result in your application not being considered.

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Opportunity Overview

  • November 8th, 2020
  • £19,734 + benefits
  • All grades
  • Year-long
  • Warrington (Cheshire)
    (Show map)

Preferred Disciplines...

  • Bioengineering
  • Biotechnology
  • Computer Science

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