National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Fellow (Bioinformatics) - Institute of Microbiology and Infection - 104050 - Grade 7

University of Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Research Fellow - Health Data Scientist

Research Fellow or Senior Research Fellow in Population Health/Data Science/Genetic Epidemiology

Research Fellow - Health Data Scientist

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Senior Data Scientist - Research

Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence

Summary

Design and develop computational pipelines for the analysis of DNA synthesis screening data Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Operate within area of specialism Contribute to generating funding  Contribute to licensing or spin out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated) and/or public understanding of the discipline or similar

Main Duties

The responsibilities may include some but not all of the responsibilities outlined below.

Design and develop computational pipelines for the analysis of DNA synthesis screening data Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods  Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews* Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters* Provide guidance, as required, to support staff and any students who may be assisting with the research* Deal with problems that may affect the achievement of research objectives and deadlines* Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.

* These indicative responsibilities may also be included in a research role at grade 6.

Person Specification

First degree in area of specialism and a higher degree relevant to bioinformatics, genomics or computational biology or equivalent professional experience Experience in one or more of these areas would be preferred, but not essential: Machine learning and artificial intelligence applications in bioinformatics Synthetic biology and genetic engineering techniques Cloud computing platforms and high-performance computing (HPC) environments High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods (such as BLAST, HMMER, kmer-based analyses) and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively  Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day-to-day activity in own area that those with protected characteristics are treated equally and fairly
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.