At a Glance
- Tasks: Develop and evaluate AI tools to revolutionise cancer diagnosis in healthcare.
- Company: Leeds Teaching Hospitals Trust, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Other info: Diverse and inclusive workplace committed to supporting all employees.
- Why this job: Join a mission to transform healthcare with AI and make a real difference.
- Qualifications: Doctoral qualification in AI in healthcare or related field, strong analytical skills required.
The predicted salary is between 37338 - 44962 € per year.
Based at the Leeds Teaching Hospitals Trust, the Digital Pathology AI Scientist will play a pivotal role in delivering clinically‑driven AI deployment within the NHS and validating AI tools through research. The position is focused on reducing waiting times for cancer diagnoses and lowering operational costs by advancing the use of artificial intelligence in healthcare.
Responsibilities
- Build, deploy and evaluate AI software tools for both research and clinical use.
- Keep up to date with current research trends and methodologies, adapting to external factors that may influence research direction.
- Manage workloads to support ongoing research projects and conduct independent research initiatives.
- Develop a broad range of AI solutions to support diverse research projects within the programme.
- Prepare and deliver reports to senior management and communicate complex technical information to stakeholders.
Qualifications
- Doctoral qualification (or close to completion) in AI in healthcare, digital pathology imaging, or a related field.
- Strong understanding of digital pathology imaging and the challenges that impact AI development and accuracy.
- Excellent technical and analytical skills for developing and evaluating AI tools.
- Experience working independently while prioritising tasks in a collaborative multidisciplinary team.
- High‑standard communication skills, able to present reports to senior management and explain technical concepts to non‑technical audiences.
Contact
Alex Wright, Head of Research Infrastructure – Alexander.wright5@nhs.net
Sponsorship Eligibility
Leeds Teaching Hospitals NHS Trust does not provide Skilled Worker sponsorship for applicants who do not meet the eligibility criteria or salary threshold. Please review the guidance before applying.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and requires submission for disclosure to the Disclosure and Barring Service to check for prior convictions.
Equal Opportunities
We are committed to recruiting exceptional people and creating a diverse and inclusive environment where all employees are valued and supported. We actively encourage applications from individuals from a variety of backgrounds, including those from minority ethnic communities.
Digital Pathology AI Scientist employer: Leeds Teaching Hospitals
At Leeds Teaching Hospitals Trust, we pride ourselves on being an exceptional employer dedicated to advancing healthcare through innovative AI solutions. Our collaborative work culture fosters professional growth and encourages diversity, ensuring that every employee feels valued and supported. With a focus on meaningful contributions to cancer diagnosis and patient care, we offer unique opportunities for research and development in a dynamic environment that is at the forefront of digital pathology.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Pathology AI Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the digital pathology and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those related to healthcare. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the AI and healthcare sectors. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Digital Pathology AI Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Digital Pathology AI Scientist role. Highlight your relevant experience in AI and digital pathology, and don’t forget to showcase any research projects that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your skills can help reduce waiting times for cancer diagnoses. Keep it engaging and personal!
Showcase Your Communication Skills:Since you'll need to present complex information to non-technical audiences, make sure to demonstrate your communication skills in your application. Use clear language and examples that show you can simplify technical concepts.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Leeds Teaching Hospitals
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially as they relate to digital pathology. Be ready to discuss how your research can impact cancer diagnosis and operational efficiency in healthcare.
✨Showcase Your Communication Skills
Since you'll need to explain complex technical concepts to non-technical stakeholders, practice simplifying your ideas. Prepare examples of how you've communicated intricate information in previous roles or projects.
✨Demonstrate Your Research Experience
Be prepared to talk about your past research projects, particularly those that involved AI tools. Highlight your ability to manage workloads and work independently while contributing to a team.
✨Prepare for Scenario Questions
Think about potential challenges in AI development and how you would address them. Prepare to discuss specific scenarios where you had to adapt your research direction based on external factors.
