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- Tasks: Teach and develop innovative modules in Precision Medical Sciences and Biomedical Data Sciences.
- Company: Join a dynamic educational institute with a global reach between London and China.
- Benefits: Enjoy competitive salaries, generous leave, and flexible working arrangements.
- Other info: Be part of a supportive and inclusive environment with growth opportunities.
- Why this job: Shape the future of medical education while collaborating internationally.
- Qualifications: PhD in Biomedical Sciences or equivalent, with strong teaching experience.
The predicted salary is between 40000 - 50000 £ per year.
We are recruiting four teaching and scholarship lecturers for two new degree programmes being launched at the Queen Mary – Nanchang University Joint Educational Institute (QM‑NCU JEI). Lecturers will deliver teaching and administrative activities in at least one module from the lists below and will also contribute to year 3 group‑project modules. They are expected to develop and execute scholarship projects that align with teaching and learning.
Responsibilities
- Teach and administer at least one module from the following options:
- Introduction to Medical Ethics
- Python language programming
- Probability theory, statistics and Bayesian analysis
- Artificial intelligence in medicine
- Academic skills
Qualifications
- Excellent academic background with a PhD in Biomedical Sciences or an equivalent professional qualification and relevant experience.
- Specialised expertise in at least one of the modules listed above.
- Strong teaching and research experience in contemporary Biomedical Sciences or Data Science disciplines.
- Effective communication and team‑working skills.
Benefits
- Competitive salaries and a generous pension scheme.
- 30 days’ annual leave (pro‑rata for part‑time/fixed‑term).
- Season ticket loan scheme and access to campus facilities.
- Flexible working arrangements and a supportive, inclusive environment.
- Opportunities for personal and professional development.
About the Institute
The JEI expands on the successful Joint Programme (JP) in Biomedical Sciences and Clinical Medicine between Queen Mary and Nanchang University. Teaching and assessments are delivered by staff who travel between London and China, with faculty based in the School of Biological and Behavioural Sciences (SBBS) at the Mile End campus.
Applications are evaluated fairly, with reasonable adjustments available for candidates with disabilities. We welcome candidates who wish to work flexibly.
Lecturer in Precision Medical Sciences and Biomedical Data Sciences (Teaching & Scholarship) in London employer: Queen Mary University of London
Contact Detail:
Queen Mary University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Precision Medical Sciences and Biomedical Data Sciences (Teaching & Scholarship) in London
✨Tip Number 1
Network like a pro! Reach out to current lecturers or staff at QM-NCU JEI on LinkedIn. A friendly chat can give us insights into the culture and expectations, plus it might just put your name on their radar.
✨Tip Number 2
Show off your teaching style! If you get the chance, prepare a mini-lecture or presentation on a topic from the modules. This will not only demonstrate your expertise but also your passion for teaching.
✨Tip Number 3
Be ready to discuss your scholarship ideas! Think about how you can enhance curriculum delivery with innovative projects. We want to see your creativity and how you can contribute to the academic community.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lecturer in Precision Medical Sciences and Biomedical Data Sciences (Teaching & Scholarship) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lecturer role. Highlight your expertise in Biomedical Sciences or Data Science, and mention any relevant teaching experience. We want to see how you fit into our exciting new programmes!
Showcase Your Passion: Let your enthusiasm for teaching and scholarship shine through in your application. Share examples of how you've engaged students in the past or any innovative projects you've worked on. We love candidates who are passionate about education!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets to the right place. Plus, you’ll find all the details you need about the role and our institute there.
How to prepare for a job interview at Queen Mary University of London
✨Know Your Modules Inside Out
Make sure you have a solid understanding of the modules you'll be teaching, like Python programming or medical ethics. Brush up on key concepts and think about how you would explain them to students. This will show your expertise and passion for the subject.
✨Showcase Your Teaching Style
Prepare to discuss your teaching philosophy and methods. Think about how you engage students and make complex topics accessible. Maybe even prepare a mini-lesson or example to demonstrate your approach during the interview.
✨Highlight Collaborative Experience
Since this role involves working with staff in both London and Nanchang, be ready to talk about any previous collaborative projects you've been part of. Share specific examples of how you’ve successfully worked in teams and adapted to different educational environments.
✨Prepare Questions About Scholarship Projects
Think about potential scholarship projects that align with the curriculum. Prepare thoughtful questions about how you can contribute to the development of these projects. This shows your initiative and commitment to enhancing the educational experience.