At a Glance
- Tasks: Lead groundbreaking research in digital pathology and AI to transform healthcare.
- Company: Join UCL, a world-leading institution in computational medicine and digital health.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Collaborate with top clinicians and researchers in a dynamic, innovative setting.
- Why this job: Make a real impact on disease diagnosis and precision medicine with cutting-edge technology.
- Qualifications: PhD in relevant fields and extensive postdoctoral research experience required.
The predicted salary is between 47000 - 60000 £ per year.
University College London (UCL) invites applications for the position of Senior Research Fellow in Digital Pathology and Artificial Intelligence. This role is based within a world-leading research environment focused on advancing computational medicine, digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences.
The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers.
Responsibilities include:
- Designing and implementing AI algorithms
- Managing and analysing large-scale pathological imaging datasets
- Contributing to high-impact publications
- Supporting grant applications
- Collaborating on translational research projects
- Mentoring junior researchers
- Contributing to strategic research development within the department
This position offers the opportunity to be part of a highly collaborative and internationally recognised research ecosystem at UCL, with strong links to clinical partners and biomedical research institutions. The successful candidate will contribute to advancing AI applications in healthcare and driving innovation in digital pathology research.
Eligibility Criteria:
- PhD in Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Medical Imaging, or a related discipline
- Extensive postdoctoral research experience relevant to digital pathology, computational imaging, or AI in healthcare
- Strong publication record in peer-reviewed journals in relevant fields
- Demonstrated experience in leading or contributing to advanced research projects
- Experience appropriate to a senior research or leadership-level research role
- Strong evidence of interdisciplinary research collaboration, particularly with clinical or biomedical partners
- Ability to contribute to research strategy and funding applications
Required Expertise/Skills:
- Expertise in machine learning and artificial intelligence methodologies
- Strong background in digital pathology, medical imaging, or computational image analysis
- Proficiency in programming languages such as Python, R, or equivalent scientific computing tools
- Experience with deep learning frameworks and large-scale data analysis
- Knowledge of whole-slide imaging and computational pathology workflows
- Strong statistical analysis and data modelling skills
- Ability to manage and interpret complex biomedical datasets
- Excellent scientific writing and communication skills
- Experience in securing or contributing to research funding proposals
- Ability to collaborate effectively in multidisciplinary clinical and research teams
- Leadership and mentoring capabilities for junior researchers
Salary Details: Salary will be aligned with UCL Senior Research Fellow pay scales and will depend on qualifications, experience, and academic track record.
Application Deadline: Not specified in the provided listing; applications will be reviewed according to UCL recruitment timelines and departmental requirements.
Senior Research Fellow – Digital Pathology & Artificial Intelligence employer: RFCSR
University College London (UCL) is an exceptional employer, offering a vibrant and collaborative research environment that fosters innovation in digital pathology and artificial intelligence. With strong ties to clinical partners and a commitment to advancing healthcare through cutting-edge research, UCL provides ample opportunities for professional growth, mentorship, and impactful contributions to the field. Employees benefit from a supportive culture that values interdisciplinary collaboration and encourages high-impact publications, making it an ideal place for those seeking meaningful and rewarding careers in academia.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Fellow – Digital Pathology & Artificial Intelligence
✨Network Like a Pro
Get out there and connect with folks in the digital pathology and AI space. Attend conferences, webinars, or local meetups. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your expertise in machine learning and AI. Share specific examples of your work, especially those that align with the role at UCL. We want to see your passion and how you can contribute to their cutting-edge research!
✨Tailor Your Approach
Don’t just send out generic messages. Tailor your communication to each opportunity, especially when reaching out to UCL. Mention how your background in computational imaging and digital health technologies makes you a perfect fit for their team. We love seeing candidates who take the time to personalise their outreach!
✨Apply Through Our Website
We highly recommend applying directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest opportunities in one place, making your job search a whole lot easier!
We think you need these skills to ace Senior Research Fellow – Digital Pathology & Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in digital pathology and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our research goals.
Showcase Your Research Impact:When detailing your past research, focus on the impact it had. We’re interested in how your work has contributed to advancements in AI and healthcare, so include metrics or outcomes where possible to demonstrate your success.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at RFCSR
✨Know Your Stuff
Make sure you brush up on the latest trends in digital pathology and AI. Familiarise yourself with key concepts like whole-slide imaging and computational image analysis. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Experience
Prepare to talk about your postdoctoral research and any relevant projects you've led. Highlight your publication record and any interdisciplinary collaborations. This is your chance to demonstrate how your background aligns with the role and how you can contribute to UCL's innovative research environment.
✨Be Ready for Technical Questions
Expect questions about machine learning methodologies and programming languages like Python or R. Brush up on your deep learning frameworks and be prepared to discuss how you've applied these skills in real-world scenarios. Practical examples will make your answers stand out.
✨Emphasise Collaboration
Since this role involves working with multidisciplinary teams, be ready to discuss your experience collaborating with clinicians and biomedical researchers. Share specific examples of how you've contributed to team projects and supported junior researchers, showcasing your leadership and mentoring abilities.
