Computational Biology Research Associate

3 weeks ago


London, Greater London, United Kingdom University of Bristol Full time

Position Overview
A postdoctoral opportunity is available under the mentorship of Dr. Thomas Gorochowski at the University of Bristol, in collaboration with Dr. Thomas Ouldridge from Imperial College London. This role is part of a multidisciplinary initiative known as EEBio, which aims to enhance the resilience of engineered biological systems through feedback control methodologies.

Duration and Collaboration
This is a three-year position, with the potential for extension. The successful candidate will collaborate closely with other postdoctoral researchers involved in the EEBio program across the Universities of Bristol and Oxford, as well as Imperial College London.

Key Responsibilities
The primary focus will be on developing a computational framework to expedite the engineering of biological systems at various scales, ranging from molecular circuits to cellular communities. Responsibilities include:

  • Creating innovative computational tools and integrating existing software to facilitate effective design and testing of biological systems in silico.
  • Conducting thorough analyses of experimental results.
  • Developing domain-specific languages (DSLs) to streamline researcher interactions with the system.
  • Building digital biological twins to simulate biological processes across different scales.
  • Implementing data standards, such as the Synthetic Biology Open Language, to enhance data integration with external tools.
  • Exploring cloud computing resources and dedicated servers to improve accessibility of these services.

Candidate Profile
The ideal candidate should possess extensive experience in software engineering and demonstrate a genuine interest in the field of biological engineering. A proven ability to acquire new skills and collaborate effectively within a diverse, multidisciplinary team is essential. Experience with Rust and Julia programming languages, high-performance computing (including GPU programming), and the development of extensible software will be advantageous.



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