Research Associate: AI‐Driven Multimodal Spatial Omics in Sheffield

Research Associate: AI‐Driven Multimodal Spatial Omics in Sheffield

Sheffield Full-Time 38784 - 39906 € / year (est.) No home office possible
The University of Sheffield

At a Glance

  • Tasks: Generate and analyse multimodal datasets to understand disease progression in cancer.
  • Company: The University of Sheffield, a leading research institution.
  • Benefits: Competitive salary, substantial annual leave, and flexible working options.
  • Other info: Exciting opportunity for career growth in a dynamic research environment.
  • Why this job: Join a pioneering research group and make a real impact in cancer research.
  • Qualifications: PhD in a relevant field and experience in advanced experimental techniques.

The predicted salary is between 38784 - 39906 € per year.

The University of Sheffield is seeking a Research Associate to join the NEOPATH research group. This full-time role involves generating and analysing multimodal datasets, requiring a PhD in a relevant field. The successful candidate will contribute to understanding disease progression in cancer predisposition syndromes through advanced experimental techniques and computational analysis.

Located in Sheffield, the position offers a salary between £38,784 and £39,906 and includes substantial annual leave and flexible working opportunities.

Research Associate: AI‐Driven Multimodal Spatial Omics in Sheffield employer: The University of Sheffield

The University of Sheffield is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration within the NEOPATH research group. With a strong commitment to employee development, substantial annual leave, and flexible working arrangements, the university provides a supportive culture that encourages meaningful contributions to cutting-edge research in cancer predisposition syndromes.

The University of Sheffield

Contact Detail:

The University of Sheffield Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Associate: AI‐Driven Multimodal Spatial Omics in Sheffield

Tip Number 1

Network like a pro! Reach out to current or former employees at the University of Sheffield, especially those in the NEOPATH research group. A friendly chat can give us insights into the team culture and might even lead to a referral.

Tip Number 2

Prepare for the interview by diving deep into the latest research in multimodal spatial omics. We should be ready to discuss how our skills align with their goals, especially in understanding disease progression in cancer predisposition syndromes.

Tip Number 3

Showcase your analytical skills! During interviews, we can share specific examples of how we've generated and analysed complex datasets. This will demonstrate our hands-on experience and problem-solving abilities.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our relevant experience and passion for the role.

We think you need these skills to ace Research Associate: AI‐Driven Multimodal Spatial Omics in Sheffield

PhD in a relevant field
Data Analysis
Multimodal Dataset Generation
Computational Analysis
Experimental Techniques
Understanding of Disease Progression
Cancer Predisposition Syndromes

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your relevant experience and skills that align with the role. We want to see how your background fits into the exciting work we're doing at NEOPATH!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven research and how you can contribute to our understanding of disease progression in cancer predisposition syndromes.

Showcase Your Research Skills:Since this role involves generating and analysing multimodal datasets, be sure to mention any specific techniques or tools you're familiar with. We love seeing candidates who are ready to dive into advanced experimental techniques!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at The University of Sheffield

Know Your Research

Make sure you’re well-versed in the latest advancements in AI-driven multimodal spatial omics. Familiarise yourself with the NEOPATH research group’s work and be ready to discuss how your background aligns with their projects.

Showcase Your Analytical Skills

Prepare to demonstrate your experience in generating and analysing multimodal datasets. Bring examples of past projects where you used advanced experimental techniques and computational analysis, and be ready to explain your thought process.

Ask Insightful Questions

Think of thoughtful questions to ask about the team’s current research and future directions. This shows your genuine interest in the role and helps you understand how you can contribute effectively.

Highlight Flexibility and Collaboration

Since the position offers flexible working opportunities, be prepared to discuss how you manage your time and collaborate with others. Share examples of how you’ve worked in teams and adapted to changing project needs.