At a Glance
- Tasks: Analyse large data sets using machine learning and communicate findings effectively.
- Company: Join a leading research network focused on healthy ageing and metabolic science.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Full-time role based in London with excellent career growth potential.
- Why this job: Make a real impact in the field of ageing while collaborating with top academics.
- Qualifications: Degree in data science or related field; experience with machine learning required.
The predicted salary is between 42405 - 45932 £ per year.
We are seeking a skilled data scientist and science communicator to support a new national research network around healthy ageing. The successful candidate will use machine learning techniques to analyse large data sets held within the network, with the aim of producing novel findings within the field of metabolic ageing. The role will involve engaging with academics across Queen Mary and externally, including writing reports, newsletters, and presenting at events.
You will have a degree or relevant professional experience in data science or another related quantitative/scientific discipline. You will have experience using machine learning techniques and will be confident in communicating your findings to a range of specialist and non-specialist audiences.
The network is funded by the BBSRC-MRC’s Ageing across the life course interdisciplinary research network call. This national network of stakeholders is led by Profs Chan and Henson and aims to tackle CELLular metabolism Over a life-course in socioeconomically disadvantaged populations (CELLO).
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro‑rata for part‑time/fixed‑term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work‑life balance and family‑friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on‑site nursery at the Mile End campus.
The post is based at the Charterhouse Square Campus in London. It is full time (35 hours per week), fixed‑term appointment for 10 months, with an expected start date of May 2024. The starting salary will be Grade 5, £42,405 – £45,932 per annum, inclusive of London Allowance.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Data Scientist and Science Communicator in London employer: Queen Mary University of London
Queen Mary University offers an exceptional work environment for data scientists and science communicators, particularly at our Charterhouse Square Campus in London. With a strong focus on employee development, competitive salaries, and generous benefits including 30 days of leave and flexible working arrangements, we foster a culture of inclusivity and support. Join us to contribute to groundbreaking research in healthy ageing while enjoying a balanced work-life experience in a vibrant academic community.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist and Science Communicator in London
✨Network Like a Pro
Get out there and connect with people in the field! Attend events, join online forums, and engage with academics. The more you network, the better your chances of landing that dream job.
✨Show Off Your Skills
When you get the chance to present or discuss your work, make it count! Use clear visuals and relatable language to communicate your findings. Remember, it's all about making complex data accessible to everyone.
✨Tailor Your Approach
Before any interview or networking opportunity, do your homework! Understand the organisation's goals and how your skills can help them achieve those. This shows you're genuinely interested and ready to contribute.
✨Apply Through Our Website
Don't forget to apply through our website for the best chance at landing the role! We love seeing candidates who are proactive and take the time to engage with us directly.
We think you need these skills to ace Data Scientist and Science Communicator in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about healthy ageing and how your communication skills can help us engage with diverse audiences. Keep it engaging and personal!
Showcase Your Communication Skills:Since this role involves communicating complex findings, include examples of how you've successfully presented data to both specialist and non-specialist audiences. We love seeing creativity in how you convey information!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at Queen Mary University of London
✨Know Your Data Inside Out
Before the interview, dive deep into the data sets you might be working with. Familiarise yourself with the types of data and machine learning techniques relevant to metabolic ageing. This will not only boost your confidence but also allow you to discuss your insights and ideas more effectively.
✨Communicate Clearly and Confidently
Since the role involves engaging with both specialists and non-specialists, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated findings in the past, whether through reports or presentations, to showcase your communication skills.
✨Show Enthusiasm for Healthy Ageing Research
Research the latest trends and challenges in healthy ageing and cellular metabolism. Bring this knowledge into the conversation to demonstrate your genuine interest in the field and how you can contribute to the national research network.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the project, team dynamics, and future directions of the research network. This shows your engagement and helps you assess if the role is the right fit for you.
