At a Glance
- Tasks: Join a dynamic team to analyse cutting-edge datasets in cancer research and precision medicine.
- Company: University of Sheffield's NEOPATH research group, focused on innovative health solutions.
- Benefits: Gain hands-on experience in advanced research with opportunities for professional growth.
- Other info: Collaborative environment dedicated to innovation and clinical impact.
- Why this job: Make a real impact in cancer diagnostics while working with leading experts in the field.
- 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 bio‑informatics pipelines.
Adhere to Health
Research Associate in Multimodal Spatial Omics and AI-Driven Mechanobiology employer: The University of Sheffield
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.
Contact Detail:
The University of Sheffield Recruiting Team
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 answers.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience in molecular or cell biology, especially any projects related to cancer research. 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 joining our dynamic NEOPATH research group.
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 align with the Research Associate role. Highlight any relevant work in spatial biology, mechanobiology, or computational oncology to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for cancer research and how your background fits into our multidisciplinary team. Be genuine and let us know why you want to join the NEOPATH group.
Showcase Your Skills:Don’t forget to mention your unique competencies, especially in advanced wet-lab experimentation and bioinformatics. We love seeing candidates who can integrate lab work with computational analysis!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at The University of Sheffield
✨Know Your Research
Dive deep into the specifics of the NEOPATH research group and their projects. Familiarise yourself with the latest advancements in spatial biology, mechanobiology, and AI-driven analysis. Being able to discuss how your background aligns with their work will show your genuine interest and preparedness.
✨Showcase Your Skills
Prepare to highlight your unique competencies in wet-lab experimentation and computational bio-image analysis. Bring examples of your previous work, especially any high-plex in situ profiling or 3D tumour modelling projects. This will help demonstrate your hands-on experience and technical expertise.
✨Engage with the Team
Since this role involves collaboration with a multidisciplinary team, be ready to discuss how you work with others. Share experiences where you’ve successfully collaborated with clinicians, biologists, or pathologists. This will illustrate your ability to thrive in a dynamic research environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the project’s goals, challenges, and future directions. Inquire about the integration of findings from laboratory work with computational outputs. This not only shows your enthusiasm but also your critical thinking skills and desire to contribute meaningfully.
