Research Assistant in Bioinformatics

Cranfield University; Bedford; Hybrid; GBP 28,000 - 35,000; Full time

Job summary

Cranfield University seeks a Research Assistant in Bioinformatics to develop novel methodologies for monitoring pollinators. This role involves the application of AI, machine learning, and bioinformatics techniques to enhance research efforts, while offering opportunities to train students and collaborate internationally.

Qualifications

• Extensive research experience in Biosciences and Bioinformatics.
• Practical experience in Machine Learning models and software development.
• Experience in delivering training seminars and workshops.

Responsibilities

• Develop methodologies for pollinator monitoring using AI and molecular methods.
• Investigate computer vision and Deep Learning for processing images.
• Train international students in AI and organize seminars.

Skills

Python

R

Machine Learning

AI

Analytical skills

Education

BSc in Bioinformatics or related discipline

Job description

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Research Assistant in Bioinformatics, Bedford

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Client:

Cranfield University

Location:

Bedford, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

8895f6db7066

Job Views:

4

Posted:

02.06.2025

Expiry Date:

17.07.2025

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Job Description:

Role Description

We welcome applications from committed and skilled candidates to join our team to support and deliver a British Council funded project led by UK and Thai academics.

About the Role

Your role will be to develop novel methodologies for qualitative and quantitative pollinator monitoring using a combination of AI and molecular methods. You will work with multiple academic partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful and versatile AI systems and user-friendly software able to automatically process images from still photos and videos and export detailed reports incorporating statistical analysis. You will also use DNA metabarcoding methodologies to uncover bee foraging patterns in tropical areas. You will also undertake training of international students in AI and organize online and face-to-face seminars.

About You

You will have a BSc in Bioinformatics or related discipline, or the equivalent in professional qualifications and experience. You are required to have extensive research experience in Biosciences and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development.

High level analytical capability is essential, alongside excellent oral and written presentation skills. Experience in delivery of training seminars, workshops, technical meetings would also be desirable.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact .

The is a multidisciplinary team of academics and research scientists working in diverse areas from crop genome assemblies to soil science and food safety and security using state of the art bioinformatics tools and machine learning methodologies and assist with the group’s teaching and outreach activities.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more .

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity . Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working .

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.