At a Glance
- Tasks: Join a dynamic team to analyse multimodal datasets and contribute to groundbreaking cancer research.
- Company: University of Sheffield's NEOPATH research group, focused on innovative health solutions.
- Benefits: Gain hands-on experience in cutting-edge research with opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and clinical impact.
- Why this job: Make a real impact in cancer diagnostics and personalised medicine while working with experts.
- Qualifications: Background in molecular or cell biology with skills in 3D tumour modelling and bioinformatics.
The predicted salary is between 30000 - 40000 € per year.
We are seeking a talented and motivated Research Associate to join the NEOPATH research group within the Faculty of Health, University of Sheffield. This is an exciting opportunity, funded by Fanconi Hope, to work at the intersection of spatial biology, mechanobiology and computational oncology contributing to cutting‑edge research in predicting disease progression and therapeutic response in genetic cancer predisposition syndromes (i.e. Fanconi Anaemia) and associated malignancies.
Led by Dr Hanya Mahmood, Professors Daniel Lambert and Ali Khurram, this multidisciplinary project focuses on modelling tumour evolution by integrating multimodal spatial omics and biophysical profiling with advanced AI‑driven analysis. You will work alongside a multidisciplinary team of clinicians, molecular biologists, and pathologists to generate and analyse experimental training datasets that uncover novel biomarkers, predict treatment resistance, and inform precision medicine strategies for patients with high‑risk cancer predisposition syndromes including Fanconi Anaemia.
The role requires unique competencies in advanced wet‑lab experimentation, specifically high‑plex in situ profiling, bio‑informatics and computational framework development. This offers a rare opportunity for an individual with a background in molecular or cell biology who is also highly skilled in 3D tumour modelling, and the application of computational bio‑image analysis. You’ll be part of a dynamic, supportive, and forward‑thinking research environment committed to making real clinical impact through innovation in cancer diagnostics and personalised medicine.
Main duties and responsibilities:
- Generate, process, and analyse multimodal datasets including multiplex imaging, spatial transcriptomics, integrating findings from laboratory work with computational outputs.
- Manage and maintain laboratory equipment, digital pathology tools, software environments, and data systems essential for experimental and computational workflows.
- Work both independently and collaboratively as part of the NEOPATH research group, engaging with co‑investigators and funders to meet project milestones and contributing to overall project planning and delivery including scheduling of detailed programmes of work and resource requirements within each stage of the project.
- Maintain accurate and detailed records of all research activity, including wet‑lab protocols, data acquisition processes, and bioinformatics pipelines.
- Adhere to Health and Safety regulations and best practices in the laboratory.
Research Associate in Multimodal Spatial Omics and AI-Driven Mechanobiology employer: Diversity Dashboard
The University of Sheffield offers an exceptional work environment for the Research Associate role, fostering a culture of collaboration and innovation within the NEOPATH research group. Employees benefit from access to cutting-edge resources, opportunities for professional development, and the chance to contribute to impactful research in cancer diagnostics and personalised medicine. Located in a vibrant city known for its rich academic heritage, this position provides a unique opportunity to engage with a multidisciplinary team dedicated to advancing healthcare solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Multimodal Spatial Omics and AI-Driven Mechanobiology
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of spatial biology and mechanobiology on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI-driven analysis and high-plex in situ profiling. We recommend doing mock interviews with friends or mentors to build confidence and refine your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience in molecular biology, 3D tumour modelling, and computational bio-image analysis. This will give you an edge when discussing your qualifications during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative research team.
We think you need these skills to ace Research Associate in Multimodal Spatial Omics and AI-Driven Mechanobiology
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Research Associate role. Highlight your background in molecular or cell biology, as well as any experience with 3D tumour modelling and computational bio-image analysis.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of spatial biology and mechanobiology. Mention specific projects or experiences that align with our work at NEOPATH.
Showcase Your Team Spirit:We love collaboration! In your application, emphasise your ability to work both independently and as part of a multidisciplinary team. Share examples of how you've successfully collaborated with others in past research projects.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to receive your materials and keep track of your application!
How to prepare for a job interview at Diversity Dashboard
✨Know Your Research
Dive deep into the NEOPATH research group's work and understand their focus on spatial biology and mechanobiology. Familiarise yourself with recent publications and breakthroughs in the field, especially those related to Fanconi Anaemia and cancer predisposition syndromes. This will not only show your genuine interest but also help you engage in meaningful discussions during the interview.
✨Showcase Your Skills
Prepare to discuss your experience with advanced wet-lab experimentation and computational bio-image analysis. Bring specific examples of past projects where you've successfully integrated multimodal datasets or developed bioinformatics pipelines. Highlighting your unique competencies will demonstrate that you're the right fit for this multidisciplinary role.
✨Ask Insightful Questions
Prepare thoughtful questions about the project’s goals, the team dynamics, and how your role will contribute to the overall success of the research. This shows that you’re not just interested in the position, but also in how you can make a real impact within the team and the broader research community.
✨Demonstrate Team Spirit
Since the role involves collaboration with clinicians, molecular biologists, and pathologists, be ready to discuss your teamwork experiences. Share examples of how you've worked effectively in a team setting, managed conflicts, or contributed to group projects. Emphasising your ability to collaborate will resonate well with the interviewers.
