At a Glance
- Tasks: Join a team to develop AI tools for analysing medical data and improving diagnostics.
- Company: Queen Mary University of London, a leading academic research institution.
- Benefits: Competitive salary, access to state-of-the-art facilities, and collaborative research environment.
- Other info: Opportunity for career growth in a dynamic, multidisciplinary team.
- Why this job: Make a real impact in healthcare by applying AI to digital pathology.
- Qualifications: PhD in relevant field and experience in machine learning and medical imaging.
The predicted salary is between 43722 - 43722 £ per year.
Queen Mary University of London is seeking to appoint a Postdoctoral Research Assistant to contribute to pioneering research at the intersection of artificial intelligence and digital pathology. The position is based within a leading academic research environment and supports ongoing projects focused on applying advanced computational methods to biomedical imaging and pathology data.
The successful candidate will work as part of a multidisciplinary team involving clinicians, data scientists, and researchers, contributing to the development and application of AI-driven tools for the analysis of complex medical datasets. The role includes designing and implementing machine learning models, processing large-scale pathology imaging data, and contributing to translational research aimed at improving diagnostic and clinical outcomes.
Responsibilities include:
- Conducting independent and collaborative research
- Developing novel algorithms and computational pipelines
- Preparing research outputs for publication in high-impact journals
- Supporting grant-related activities
- Engaging in academic dissemination through conferences and workshops
- Contributing to the broader research objectives of the institution
This is a fixed-term research position offering an opportunity to work within a highly collaborative and internationally recognised research setting, with access to state-of-the-art facilities and resources.
Eligibility Criteria:
- A PhD (or near completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, or a closely related discipline
- Demonstrated experience in machine learning, deep learning, or computer vision
- Experience working with medical imaging or digital pathology data
- Strong programming background and experience handling large datasets
- Ability to work independently and as part of a multidisciplinary research team
- Evidence of research output or contributions to academic publications
Required Expertise/Skills:
- Proficiency in programming languages such as Python
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong understanding of image analysis and computer vision techniques
- Data preprocessing, model development, and evaluation skills
- Analytical thinking and problem-solving ability
- Scientific writing and communication skills
- Familiarity with research ethics and data governance
Salary Details: £36,572 – £43,722 per annum (Grade 4)
Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology employer: RFCSR
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.
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We think this is how you could land Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology
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We think you need these skills to ace Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at RFCSR, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to RFCSR, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at RFCSR
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at RFCSR.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at RFCSR.
