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- Tasks: Analyse high-resolution spatial data and develop innovative computational methods.
- Company: Join a leading research centre at the forefront of biomedical science.
- Benefits: Market-leading pension, health services, generous leave, and discounts.
- Why this job: Make a real impact on chronic disease research using cutting-edge technology.
- Qualifications: PhD in a relevant field with machine learning experience and a passion for bioinformatics.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Applications are invited for the post of Biomedical Data Scientist specialising in Spatial Bioinformatics. The post is based in the new Medical Research Council Centre of Research Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our genes to cause and exacerbate chronic inflammatory diseases.
Responsibilities
The post-holder will be responsible for applying computational methods for analysis of data from high-resolution spatial technologies, including spatial transcriptomics and proteomics data integrated with clinical data and other high-resolution omics datasets. They will apply cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE\’s scientific aims, published as well-documented open source tools for wider adoption.
Qualifications
The successful applicant will have a PhD with a significant computational and/or statistical element and will have experience of machine learning. A strong interest in biology and bioinformatics is essential. The candidate should also have a good scientific publication record given career stage and be self-motivated, hard-working and able to work in a team.
Benefits
- 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
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Biomedical Data Scientist specialising in Spatial Bioinformatics employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biomedical Data Scientist specialising in Spatial Bioinformatics
✨Tip Number 1
Network like a pro! Reach out to professionals in the biomedical field, especially those working in spatial bioinformatics. Attend conferences or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and spatial omics. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your computational methods and data analysis techniques. Practice explaining complex concepts in simple terms – this will help you connect with interviewers who may not have a deep technical background.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at the MRC CoRE.
We think you need these skills to ace Biomedical Data Scientist specialising in Spatial Bioinformatics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Biomedical Data Scientist role. Highlight your experience with spatial bioinformatics, machine learning, and any relevant computational methods. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how your background makes you a great fit for the MRC CoRE. Keep it engaging and personal – we love to see your personality!
Showcase Your Publications: If you've got a solid publication record, make sure to mention it! Highlight any papers that relate to spatial technologies or machine learning. This shows us you're not just knowledgeable but also actively contributing to the field.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into our hands quickly. Plus, you’ll find all the details you need right there!
How to prepare for a job interview at The University of Manchester
✨Know Your Stuff
Make sure you brush up on your knowledge of spatial bioinformatics and the specific computational methods mentioned in the job description. Familiarise yourself with high-resolution spatial technologies like transcriptomics and proteomics, as well as machine learning techniques relevant to the role.
✨Show Your Passion
Express your genuine interest in biology and bioinformatics during the interview. Share any personal projects or research that highlight your enthusiasm for the field. This will help demonstrate that you're not just qualified, but also truly invested in the work you'll be doing.
✨Prepare for Collaboration Questions
Since the role involves collaboration, be ready to discuss your experience working in teams. Think of examples where you've successfully collaborated on projects, especially those involving computational methods or data analysis. Highlight your ability to communicate complex ideas clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the CoRE's scientific aims and the types of projects you might be involved in. This shows that you're not only interested in the position but also eager to contribute to the team's goals and understand their challenges.