At a Glance
- Tasks: Conduct hands-on research in digital trials and analyse real-world data.
- Company: BioTalent, a leader in innovative health research.
- Benefits: Long-term stability, hybrid work model, and impactful research opportunities.
- Other info: No people management, just pure research in a high-impact environment.
- Why this job: Make a difference in healthcare with your statistical expertise.
- Qualifications: PhD and strong programming skills in R and/or Python required.
The predicted salary is between 50000 - 70000 € per year.
BioTalent is recruiting a Statistician / Computational Scientist for a hybrid role based in London. This opportunity allows for hands-on research in a high-impact environment focused on digital trials and real-world data, without the burden of people management.
Ideal candidates will have:
- A PhD
- Strong programming skills in R and/or Python
- Experience with clinical or biological datasets
The role offers long-term stability and the chance to contribute to meaningful research.
Hands-On Statistician for Digital Trials & Real-World Data employer: BioTalent
At BioTalent, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid role in London not only offers the chance to engage in impactful research but also provides ample opportunities for professional growth and development in the field of digital trials and real-world data. With a focus on employee well-being and long-term stability, we are committed to supporting our team members in making meaningful contributions to the scientific community.
StudySmarter Expert Advice🤫
We think this is how you could land Hands-On Statistician for Digital Trials & Real-World Data
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of statistics and digital trials on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in R and Python, especially those related to clinical or biological datasets. This will give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistical knowledge and coding skills. Practice common interview questions and coding challenges 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 take that extra step to connect with us directly.
We think you need these skills to ace Hands-On Statistician for Digital Trials & Real-World Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD and programming skills in R and/or Python. We want to see how your experience aligns with the hands-on research focus of the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working in digital trials and real-world data. Share specific examples of your experience with clinical or biological datasets to make your application stand out.
Showcase Your Passion:We love candidates who are genuinely passionate about their work. In your application, let us know what drives you in the field of statistics and how you see yourself contributing to meaningful research at BioTalent.
Apply Through Our Website:To ensure your application gets the attention it deserves, make sure to apply through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at BioTalent
✨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss how you've applied it in real-world scenarios. Be prepared to explain complex concepts in simple terms, as this shows your depth of understanding.
✨Show Off Your Coding Skills
Since strong programming skills in R and/or Python are crucial, make sure you can demonstrate your coding abilities. Bring examples of your work or projects where you've used these languages to analyse clinical or biological datasets.
✨Understand the Role
Familiarise yourself with the specifics of digital trials and real-world data. Research BioTalent and their recent projects to show that you're genuinely interested in their work and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. This not only shows your enthusiasm but also helps you gauge if the company culture and the job align with your career goals.
