At a Glance
- Tasks: Join a dynamic team to develop AI methods for early breast cancer detection.
- Company: Leading research group at a prestigious university focused on innovative medical imaging.
- Benefits: Market-leading pension, health services, generous leave, and local discounts.
- Other info: Flexible working options available in a supportive, multi-disciplinary environment.
- Why this job: Make a real difference in healthcare while advancing your skills in AI and machine learning.
- Qualifications: Strong computational skills and experience in Python and AI are essential.
The predicted salary is between 30000 - 40000 £ per year.
This is an outstanding opportunity for a postgraduate wishing to work in AI-based medical image analysis, with a background in machine learning, to work within the Breast Imaging Research group under the supervision of Prof Susan Astley Theodossiadis. The post holder will be in the Division of Informatics, Imaging and Data Science, and based in the Stopford Building on Oxford Road. The candidate will support the aims of the NIHR Biomedical Research Centre. This innovative project will study AI methods for the early detection of breast cancer from mammograms.
This position offers an ideal opportunity for an enthusiastic, well-motivated individual to work as part of a sociable multi-disciplinary team consisting of a research fellow, research associate and PhD student supported by colleagues with expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is essential for the position.
What will you get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Our University is positive about flexible working – you can find out more here. Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVs submitted by a recruitment agency will be considered a gift. Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.
Please note that the interviews for these posts will be held in the last week of July/first week in August. This vacancy will close for applications at midnight on the closing date.
Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer in Manchester employer: The University of Manchester
Join a leading institution at the forefront of AI-based medical research, where you will collaborate with a dynamic and supportive multi-disciplinary team dedicated to advancing early cancer detection. Our commitment to employee wellbeing is reflected in our exceptional benefits, including a market-leading pension scheme, generous annual leave, and flexible working arrangements, all within the vibrant environment of the Stopford Building on Oxford Road. This role not only offers a chance to contribute to groundbreaking research but also provides ample opportunities for personal and professional growth in a welcoming and inclusive workplace.
Contact Details:
The University of Manchester Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer in Manchester
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
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Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
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We think you need these skills to ace Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer in Manchester
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show The University of Manchester that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at The University of Manchester.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that The University of Manchester does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at The University of Manchester
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at The University of Manchester. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into The University of Manchester's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at The University of Manchester. This shows your passion for the industry!
