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- Tasks: Lead research and translate scientific findings into innovative nutrition products.
- Company: Pioneering health tech startup in the UK with a focus on personalised nutrition.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful publications.
- Why this job: Join a fast-paced team and make a real difference in health technology.
- Qualifications: PhD in a quantitative field and strong skills in R or Python.
- Other info: Dynamic startup culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering health technology company in the UK is seeking a Senior Scientist to drive research agendas and translate scientific findings into product applications. The ideal candidate holds a PhD in a quantitative field and possesses strong statistical analysis skills, specifically in R or Python. This team member will lead impactful research and contribute to high-profile publications, all while fostering collaboration across diverse teams. The position offers the opportunity to work at the forefront of personalized nutrition, within a fast-paced startup environment.
Senior Scientist, Nutrition Data & Product Translation employer: ZOE
Contact Detail:
ZOE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientist, Nutrition Data & Product Translation
✨Tip Number 1
Network like a pro! Reach out to professionals in the nutrition and health tech fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical analysis skills in R or Python. Be ready to discuss how you've applied these skills in past research projects, as this will really impress potential employers.
✨Tip Number 3
Showcase your collaborative spirit! Think of examples where you've worked with diverse teams to achieve research goals. This is key in a fast-paced startup environment, so make sure to highlight your teamwork skills.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our pioneering team. Plus, it gives you a better chance to stand out from the crowd.
We think you need these skills to ace Senior Scientist, Nutrition Data & Product Translation
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your PhD and any relevant experience in quantitative fields. We want to see your strong statistical analysis skills, especially if you're proficient in R or Python. This is your chance to shine!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to our job description. Mention how your past research aligns with our goals in personalized nutrition and how you can contribute to impactful publications.
Be Collaborative: Since this role involves working across diverse teams, let us know about your teamwork experiences. Share examples of how you've successfully collaborated in the past, as we value a collaborative spirit here at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on being part of our pioneering team!
How to prepare for a job interview at ZOE
✨Know Your Science
Make sure you brush up on the latest research in nutrition and how it translates into product applications. Be ready to discuss your PhD work and any relevant projects, showcasing your statistical analysis skills in R or Python.
✨Showcase Collaboration Skills
Since this role involves working with diverse teams, prepare examples of past collaborations. Think about how you’ve successfully worked with others to drive research agendas and how you can bring that experience to the table.
✨Prepare for Technical Questions
Expect questions that dive deep into your statistical analysis expertise. Be prepared to solve problems on the spot or explain your thought process when using R or Python. Practising common data analysis scenarios can really help.
✨Highlight Your Impact
Be ready to discuss your contributions to high-profile publications. Share specific examples of how your research has made a difference in the field of personalized nutrition, and how you envision continuing that impact in this new role.
