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- Tasks: Develop statistical models using R or Python for archaeological data analysis.
- Company: Leading educational institution in Bristol with a focus on innovative research.
- Benefits: Hybrid working model, competitive salary, and funding until March 2027.
- Why this job: Contribute to significant archaeological findings while collaborating with diverse teams.
- Qualifications: PhD or equivalent experience in Data Science or Biology required.
- Other info: Ideal for skilled researchers looking for impactful work in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading educational institution in Bristol seeks a Research Associate/Senior Research Associate to join the AquaNeo project, focusing on biomolecular statistical analysis. This research role involves developing statistical models using R or Python and collaborating across teams.
Candidates should have a PhD or equivalent experience in relevant fields like Data Science or Biology. The position offers a hybrid working model and is funded until March 2027, making it ideal for skilled researchers eager to contribute to significant archaeological findings.
Hybrid Senior Biomolecular Statistics Analyst (Archaeology Data) in Bristol employer: City of Bristol College
Contact Detail:
City of Bristol College Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Biomolecular Statistics Analyst (Archaeology Data) in Bristol
✨Tip Number 1
Network like a pro! Reach out to professionals in the biomolecular statistics field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical models and analyses using R or Python. This gives potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to biomolecular statistics and data analysis. We recommend practising with a friend or even in front of the mirror to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Senior Biomolecular Statistics Analyst (Archaeology Data) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in biomolecular statistics and any relevant programming skills in R or Python. We want to see how your background aligns with the AquaNeo project, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about archaeological data and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills: Since this role involves working across teams, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can communicate effectively and bring diverse perspectives to the table.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at City of Bristol College
✨Know Your Stats
Brush up on your statistical models and be ready to discuss how you've applied R or Python in your previous work. Be prepared to explain your thought process and the impact of your analyses on past projects.
✨Show Your Collaborative Spirit
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can contribute to a team environment, especially in a research setting.
✨Understand the AquaNeo Project
Do some homework on the AquaNeo project and its goals. Being able to discuss how your skills align with their objectives will show your genuine interest and help you stand out as a candidate.
✨Prepare for Technical Questions
Expect technical questions related to biomolecular statistics and data analysis. Practise explaining complex concepts in simple terms, as this will demonstrate your expertise and ability to communicate effectively with non-specialists.
