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- Tasks: Design and analyse clinical data using R and validate results.
- Company: Leading medical technology company in North Waltham with a strong reputation.
- Benefits: Health insurance, 401k plan with company match, and competitive salary.
- Why this job: Join a dynamic team and make a real difference in healthcare.
- Qualifications: Bachelor’s degree in a quantitative field and experience in statistical programming.
- Other info: Exciting opportunities for career advancement in a supportive environment.
The predicted salary is between 72000 - 90000 £ per year.
A leading medical technology company in North Waltham is seeking a Senior Clinical Research Statistician responsible for the design and analysis of clinical data. The ideal candidate will have considerable experience in statistical programming using R, with responsibilities that include validating and analyzing data. A Bachelor’s degree in a quantitative field is required.
The company offers various benefits, including health insurance and a 401k plan with company match, along with a competitive salary ranging from $120K to $135K.
Hybrid Senior Clinical Biostatistician (R/SAS) employer: Getinge
Contact Detail:
Getinge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Clinical Biostatistician (R/SAS)
✨Tip Number 1
Network like a pro! Reach out to professionals in the biostatistics field on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your R and SAS skills. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant clinical data analysis, make sure to highlight these experiences during interviews. We love seeing real-world applications of your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Hybrid Senior Clinical Biostatistician (R/SAS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R and any relevant statistical programming skills. We want to see how your background aligns with the role, so don’t be shy about 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 clinical research and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Experience: When filling out your application, focus on your experience in designing and analysing clinical data. We’re looking for specific examples that demonstrate your expertise, so don’t hold back on the details!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Getinge
✨Know Your Stats
Brush up on your statistical knowledge, especially around R and SAS. Be prepared to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Company
Research the medical technology company thoroughly. Familiarise yourself with their products, recent developments, and their approach to clinical research. This will help you tailor your answers and show genuine interest.
✨Prepare for Technical Questions
Expect technical questions related to clinical data design and analysis. Practice explaining your thought process clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples of how you've validated and analysed data in past roles. Highlight your problem-solving abilities and how they contributed to successful outcomes in your projects.
