Research Fellow in Research Software Engineering at University of Bristol
Bristol BS8 1QU, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 Aug, 25

Salary

55755.0

Posted On

27 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

Description

YOU’LL BE SOLVING COMPLEX CHALLENGES THAT MATTER

Work with petabyte-scale genetic datasets from UK Biobank, Genomics England, All of Us, Our Future Health, and other groundbreaking biobanks
Improve ancestral diversity in genetic studies
Develop analytical pipelines in cloud-based secure research environments that will help understanding in areas such as cancer, mental health, and reproductive health
Create software that influences population health recommendations

YOU SHOULD APPLY IF

We’re looking for a software engineer who:

  • Has proven experience developing analytical software for research
  • Thrives on solving complex technical challenges
  • Is passionate about creating tools that make scientific discovery possible
  • Enjoys collaboration and knowledge sharing
  • Has a background in genetic epidemiology, statistical genetics, or related quantitative disciplines
Responsibilities

THE ROLE

Are you a software engineer who wants to make a real-world impact? Join the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol and become a critical force in solving major public health challenges through innovative software solutions. Our research focuses on inferring the causal processes that underlie diseases in diverse populations. Our analytical processes have historically been oriented around high performance computing (HPC) but are increasingly migrating to cloud-based solutions. We are seeking a talented software engineer to bring in this transition.

WHAT WILL YOU BE DOING?

  • Software development - taking our existing pipelines and common analytical needs and implementing them on the Secure Research Environments (SREs)
  • Data migration - creating environments on SREs for their data in formats that are expected for the types of analyses that we do
  • Training and support - supporting researchers with the migration from local HPC to SREs and any ongoing challenges of using these platforms
  • Integration and collaboration - coordinating with other groups to share best practices and avoid duplication of efforts
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