At a Glance
- Tasks: Conduct statistical analysis of biomolecular data related to prehistoric diets using R or Python.
- Company: Leading educational institution in the UK with a focus on research and innovation.
- Benefits: Hybrid working options, supportive environment, and funding available until March 2027.
- Why this job: Combine your passion for data science and archaeology in a dynamic research role.
- Qualifications: Relevant degree or professional experience in biomolecular statistics required.
- Other info: Exciting opportunity for career growth in a collaborative setting across Bristol and UCL.
The predicted salary is between 36000 - 60000 £ per year.
A leading educational institution in the UK seeks a candidate for a research role in statistical analysis of biomolecular data focusing on prehistoric diets. The successful applicant will primarily use R or Python for analyses, offer hybrid working options, and must possess a relevant degree or professional experience.
This open-ended position offers a supportive environment across Bristol and UCL, with funding available until March 2027, making it an exciting opportunity for those passionate about combining data science and archaeology.
Senior Biomolecular Statistics Researcher (Archaeology) in London employer: University of Bristol
Contact Detail:
University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Biomolecular Statistics Researcher (Archaeology) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the archaeology and biomolecular fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your R or Python skills. Be ready to discuss how you've used these tools in past projects, especially those related to data analysis in archaeology.
✨Tip Number 3
Show your passion for the subject! When you get the chance to chat with potential employers, share your enthusiasm for prehistoric diets and how data science can uncover new insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our team.
We think you need these skills to ace Senior Biomolecular Statistics Researcher (Archaeology) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R or Python, especially in relation to biomolecular data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about archaeology and data science. Share specific examples of your work that relate to prehistoric diets or similar research areas.
Showcase Your Research Skills: Since this role involves statistical analysis, include any relevant research experience. We love seeing how you’ve applied your analytical skills in past projects, so make sure to highlight those achievements!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at University of Bristol
✨Know Your Stats
Brush up on your statistical analysis skills, especially in R or Python. Be ready to discuss specific projects where you've applied these tools, as this will show your practical experience and understanding of biomolecular data.
✨Connect the Dots
Make sure you can articulate how your background in statistics relates to archaeology. Prepare examples that highlight your passion for prehistoric diets and how your research can contribute to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the research environment and the team dynamics at the institution. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
✨Show Your Flexibility
Since the position offers hybrid working options, be ready to discuss how you manage your time and productivity in both remote and in-person settings. Highlight any previous experiences that demonstrate your adaptability.
