Applied AI for Evidence Synthesis - Research Assistant in London

Applied AI for Evidence Synthesis - Research Assistant in London

London Temporary 25650 - 31350 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead quantitative analyses and enhance evidence synthesis using Python and R.
  • Company: Join the innovative Solace-AI team at King's College London.
  • Benefits: Fixed-term role with potential for PhD fellowship and international collaboration.
  • Other info: Dynamic research environment with opportunities across Africa, Europe, and North America.
  • Why this job: Make a real impact in AI research while developing your skills and profile.
  • Qualifications: Post-Master's level numerate background and coding experience in Python and R.

The predicted salary is between 25650 - 31350 £ per year.

King's College London is seeking a numerate Research Assistant at post-Master's level to join the Solace-AI team as an Applied AI for Evidence Synthesis specialist.

You will lead quantitative analyses and adapt code (Python and R) to improve the evidence synthesis engine.

This fixed-term 35-hour-per-week post runs to 31 May 2028 and offers opportunities to develop your research profile toward a Ph D fellowship, with collaboration across Africa, Europe and North America.

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Applied AI for Evidence Synthesis - Research Assistant in London employer: King's College London

At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages professional development. Located in the heart of London, our institution offers unique advantages such as access to world-class resources and a vibrant community dedicated to advancing research and education.

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Contact Details:

King's College London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI for Evidence Synthesis - Research Assistant in London

Leverage University Connections

If you're still at uni or have recently graduated, tap into your university's career services and research departments. They often have leads on temporary research roles, internships, or projects that haven’t been widely advertised yet!

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Apply through Our Website!

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We think you need these skills to ace Applied AI for Evidence Synthesis - Research Assistant in London

Quantitative Analysis
Python
R
Evidence Synthesis
Research Skills
Collaboration
Numeracy

Some tips for your application 🫡

Show Off Your Research Skills:For a temporary role in scientific research, it’s key to highlight your hands-on experience and skills. Use your CV to detail any relevant projects or experiments you’ve worked on, showcasing your problem-solving abilities and techniques you've mastered. Don’t forget to mention any lab techniques or tools that you’re familiar with – this can really set you apart!

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Academic Credentials Matter:Make sure your academic background shines through, especially any relevant degrees, certifications, or publications. If you’ve been involved in conducting research, definitely bring that up! It’s important to demonstrate your theoretical foundations and any formal recognitions you've received in the scientific field.

Include References from Previous Researchers:Having strong references can make all the difference in a temporary role in scientific research. If you can, include references from previous supervisors or professors who can vouch for your research capabilities and work ethic. This adds credibility to your application and gives King's College London assurance of your skills and professional behaviour.

How to prepare for a job interview at King's College London

Understand the Research Landscape

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As a temporary hire, you might be expected to hit the ground running. Be ready to discuss specific techniques or tools you’ve used, like statistical software or lab equipment. Practise explaining your experience in a clear, structured way so the interviewers can grasp your skills right away.

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Bring Your Best Work to the Table

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