Research Software Engineer in Leeds

Research Software Engineer in Leeds

Leeds Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Use cutting-edge data science to drive impactful research in AI and analytics.
  • Company: Join a leading university's innovative research team focused on societal impact.
  • Benefits: Enjoy 42 days of holiday, generous pension, and access to a state-of-the-art gym.
  • Why this job: Make a real difference in health, society, and environment through interdisciplinary research.
  • Qualifications: Experience in data science and a passion for research and collaboration.
  • Other info: Flexible working arrangements and excellent personal development opportunities available.

The predicted salary is between 36000 - 60000 £ per year.

This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.

Would you like to make a difference to data analytics and AI research, education and training in one of the leading Universities in the world? Would you like to develop a career in the emerging field of research data science?

At LIDA, our mission, aligned with the University’s strategy, is to exploit data science and AI to generate societal impact. LIDA brings together applied research groups and data scientists from all disciplines, opening up new opportunities to understand health and human behaviour and casting light on the action required to tackle a wide range of health, social and environmental problems.

LIDA conducts inter-disciplinary and impact-oriented research addressing regional, national and global challenges, by applying cutting-edge data science, machine learning and AI to real-world problems. By working to ensure the effective use of vast data collections to drive research, policy development and public good initiatives, we connect academic research and education with external partners in business, government and the third sector, driving civic engagement and business growth in the North of England and beyond.

Our portfolio of data analytics research and innovation projects is worth over £90 million, with multi-disciplinary communities of over 300 researchers engaged across different programmes and specialist interest areas. LIDA’s research communities are currently focused on three main challenge areas that require interdisciplinary working: Societies, Health and Environment.

Supporting these communities are four cross-cutting programmes of work that focus on exploiting and developing our capabilities and capacity within four key methodological data analytics areas: Statistical Data Science, AI and Immersive Technologies, underpinned by technical infrastructure and expertise.

LIDA is underpinned by a nationally accredited, cloud-based secure data environment, located in a collaborative, multidisciplinary setting, to a growing portfolio of research projects and education and training programmes from across the University, including those involving highly sensitive and confidential data.

What we offer in return:

  • 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme plus life assurance – the University contributes 14.5% of salary.
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!

If you are looking for a role that will use cutting edge data science to drive research, apply today.

Research Software Engineer in Leeds employer: University of Leeds

At LIDA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of research data science. With generous benefits including 42 days of holiday, a robust pension scheme, and extensive personal development opportunities, our team is empowered to make a meaningful impact on societal challenges while enjoying a supportive and flexible working environment on a vibrant university campus.
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Contact Detail:

University of Leeds Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Software Engineer in Leeds

✨Tip Number 1

Network like a pro! Reach out to current employees at LIDA or similar organisations on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data science and AI. We want to show that we’re not just passionate but also knowledgeable about the field!

✨Tip Number 3

Don’t forget to showcase our projects! If we’ve worked on relevant data analytics or AI projects, let’s bring them up during interviews. Real-world examples can really make us stand out!

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how we align with LIDA’s mission and values.

We think you need these skills to ace Research Software Engineer in Leeds

Data Analytics
AI and Machine Learning
Statistical Data Science
Research Methodology
Interdisciplinary Collaboration
Cloud Computing
Data Management
Technical Infrastructure Expertise
Problem-Solving Skills
Communication Skills
Project Management
Adaptability
Civic Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Research Software Engineer role. Highlight relevant experience in data science, AI, and any interdisciplinary projects you've worked on. We want to see how your skills align with our mission at LIDA!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and AI research. Share specific examples of how you've made an impact in previous roles, and let us know why you want to join our team.

Showcase Your Projects: If you've worked on any interesting projects, especially those related to health, society, or the environment, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing candidates who take the initiative!

How to prepare for a job interview at University of Leeds

✨Know Your Data Science Stuff

Make sure you brush up on the latest trends in data science, AI, and machine learning. Be ready to discuss how you've applied these concepts in your previous work or projects. This role is all about making a societal impact, so think of examples where your skills have made a difference.

✨Understand LIDA's Mission

Familiarise yourself with LIDA’s research focus areas: Societies, Health, and Environment. Show that you understand their mission and how your background aligns with their goals. This will demonstrate your genuine interest in the role and the organisation.

✨Prepare for Technical Questions

Expect some technical questions during the interview. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common algorithms and data structures can help you feel more confident when tackling these challenges.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of your interview. This could be about the team dynamics, ongoing projects, or how they measure the impact of their research. It shows you're engaged and serious about contributing to their mission.

Research Software Engineer in Leeds
University of Leeds
Location: Leeds
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