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- Tasks: Enhance data science capabilities by developing and maintaining enterprise applications.
- Company: Leading pharmaceutical company in London with a focus on innovation.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Why this job: Join a dynamic team and make a real impact in the clinical data space.
- Qualifications: Bachelor's degree in a relevant field; proficiency in R and Python preferred.
- Other info: Agile mindset essential for driving product development.
The predicted salary is between 48000 - 72000 £ per year.
A leading pharmaceutical company in London seeks a Principal Tools Developer to enhance their data science capabilities. This role involves collaboration with clinical programmers to develop and maintain enterprise applications, providing documentation and training.
Candidates should have a Bachelor's degree in a relevant field and be proficient in R for data analysis. Preferred qualifications include an MSc and experience in Python. An agile and innovative mindset is essential for driving product development in the clinical data space.
Principal Biostatistics Tools Engineer in London employer: GlaxoSmithKline
Contact Detail:
GlaxoSmithKline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Biostatistics Tools Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biostatistics and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R and Python projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to biostatistics and be ready to discuss your experience with agile methodologies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Principal Biostatistics Tools Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in R and any experience you have with Python. We want to see how your skills align with the role, so don’t hold back on showcasing your technical expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in developing enterprise applications and collaborating with clinical programmers, as it shows us you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for data science shines through!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at GlaxoSmithKline
✨Know Your R and Python Inside Out
Make sure you brush up on your R and Python skills before the interview. Be ready to discuss specific projects where you've used these languages for data analysis, as well as any challenges you faced and how you overcame them.
✨Show Off Your Collaboration Skills
Since this role involves working closely with clinical programmers, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to team success.
✨Emphasise Your Agile Mindset
The company is looking for someone with an agile and innovative mindset. Think of instances where you've adapted quickly to changes or implemented new ideas in your previous roles. This will show that you're not just a technical expert but also a forward-thinker.
✨Prepare Questions About Their Tools and Processes
Come equipped with thoughtful questions about the tools and processes they use. This shows your genuine interest in the role and helps you understand how you can contribute to enhancing their data science capabilities.
