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- Tasks: Develop AI methodologies for pollinator monitoring and train international students.
- Company: Cranfield University is a leading postgraduate institution with global impact in technology and management.
- Benefits: Enjoy flexible working options, remote work opportunities, and a supportive community.
- Why this job: Join a multidisciplinary team making a real difference in biosciences and bioinformatics.
- Qualifications: BSc in Bioinformatics or related field; experience in Python, R, and Machine Learning required.
- Other info: Be part of a diverse and inclusive workplace committed to your growth.
The predicted salary is between 28800 - 48000 £ per year.
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. 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. 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.
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.
Research Assistant in Bioinformatics employer: Cranfield University
Contact Detail:
Cranfield University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant in Bioinformatics
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and molecular methods relevant to pollinator monitoring. This will not only enhance your understanding but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of bioinformatics and machine learning. Attend relevant seminars or workshops, as this can help you make valuable connections that might lead to recommendations or insights about the role.
✨Tip Number 3
Prepare to discuss your experience with Python and R in detail. Be ready to provide examples of how you've applied these skills in previous projects, especially in relation to machine learning models and software development.
✨Tip Number 4
Showcase your ability to deliver training and conduct seminars. Think of specific instances where you've successfully trained others or led discussions, as this aligns well with the responsibilities of the role.
We think you need these skills to ace Research Assistant in Bioinformatics
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific requirements and responsibilities of the Research Assistant in Bioinformatics position. Highlight your relevant skills and experiences that align with the role.
Tailor Your CV: Customise your CV to reflect your qualifications in Bioinformatics, particularly your experience with Python, R, and Machine Learning. Emphasise any research projects or methodologies you've worked on that relate to AI and molecular methods.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for bioinformatics and your understanding of the project’s goals. Mention your experience in training seminars and workshops, as well as your analytical capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and professionally formatted to make a strong impression.
How to prepare for a job interview at Cranfield University
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and R during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in machine learning and bioinformatics.
✨Demonstrate Your Research Experience
Discuss your previous research experiences in biosciences and bioinformatics. Be ready to explain how you approached problems, the methodologies you used, and the outcomes of your work.
✨Prepare for Collaborative Questions
Since this role involves working with international partners, be prepared to answer questions about teamwork and collaboration. Share examples of how you've successfully worked in diverse teams or trained others in your field.
✨Understand the Project's Goals
Familiarise yourself with the British Council funded project and its objectives. Showing that you understand the project's significance and how your role contributes to it will demonstrate your enthusiasm and commitment.
