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- Tasks: Join us as a Research Software Engineer to develop innovative data solutions for healthcare.
- Company: Cambridge University Hospital NHS Foundation Trust is at the forefront of clinical data science and engineering.
- Benefits: Enjoy flexible working options, professional development opportunities, and a chance to make a real impact.
- Why this job: Be part of a dynamic team transforming patient care through cutting-edge data applications and insights.
- Qualifications: Ideal candidates should have a background in software engineering and a passion for data-driven healthcare.
- Other info: This role focuses on oncology and offers a unique opportunity to work with leading professionals.
The predicted salary is between 43200 - 72000 £ per year.
Our new Clinical Data Science and Engineering Unit will be the vital engine room for curating, sharing and utilising our data for novel purposes outside of the routine operations of the hospital. It will work collaboratively with the Trust’s core digital and data functions, performance and analytics, clinical and operational staff, academics and commercial partners to discover new insights and develop data-driven applications. It will also play a key role in managing the safe, secure and efficient deployment of such solutions – from predictive analytics to medical device-grade decision support tools – in line with policies and processes that it takes the lead in designing.
The Research Software Engineer is a key role in this new unit, contributing to the delivery of advanced data engineering solutions to manage large volumes of data effectively. The role has a particular focus on supporting the technical delivery and implementation of key commercial partnerships, curating viable, deep, longitudinal and anonymised research datasets, with an initial focus on oncology. In doing so, you will support the generation of new insights and cutting-edge applications that enhance patient outcomes, operational efficiency and service transformation.
Research Software Engineer Cambridge University Hospital NHS Foundation Trust employer: Society of Research Software Engineering
Contact Detail:
Society of Research Software Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer Cambridge University Hospital NHS Foundation Trust
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and clinical applications. Understanding how data is used in healthcare, especially in oncology, will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or webinars. Engaging with others who work in clinical data science can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've successfully managed large datasets or developed data-driven applications. Highlighting your practical experience will demonstrate your capability for the role.
✨Tip Number 4
Research Cambridge University Hospital NHS Foundation Trust's current initiatives and partnerships. Showing that you understand their goals and how you can contribute will make a strong impression during the interview process.
We think you need these skills to ace Research Software Engineer Cambridge University Hospital NHS Foundation Trust
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Research Software Engineer position. Highlight how your skills and experiences align with the specific needs of the Clinical Data Science and Engineering Unit.
Tailor Your CV: Customise your CV to reflect relevant experience in data engineering, software development, and any previous work with healthcare data. Emphasise projects that demonstrate your ability to manage large datasets and develop data-driven applications.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for improving patient outcomes through data science. Mention any collaborative projects you've been involved in, especially those that relate to clinical or operational staff.
Highlight Relevant Projects: Include specific examples of past projects or experiences that demonstrate your expertise in predictive analytics, medical device-grade tools, or oncology research. Use metrics where possible to quantify your impact and contributions.
How to prepare for a job interview at Society of Research Software Engineering
✨Understand the Role
Make sure you have a clear understanding of what a Research Software Engineer does, especially in the context of clinical data science. Familiarise yourself with the specific responsibilities mentioned in the job description, such as managing large volumes of data and supporting commercial partnerships.
✨Showcase Relevant Experience
Prepare to discuss your previous experience with data engineering solutions, particularly in healthcare or research settings. Highlight any projects where you've worked with predictive analytics or developed applications that improved patient outcomes.
✨Demonstrate Collaboration Skills
Since the role involves working with various stakeholders, be ready to provide examples of how you've successfully collaborated with different teams. Emphasise your ability to communicate technical concepts to non-technical staff and your experience in cross-functional projects.
✨Prepare Questions
Have thoughtful questions ready for your interviewers about the Clinical Data Science and Engineering Unit. This shows your genuine interest in the role and helps you understand how you can contribute to their goals, especially regarding the focus on oncology and data-driven applications.
