At a Glance
- Tasks: Lead pharmacometric analysis and create datasets using R programming and AI tools.
- Company: Global pharmaceutical company based in High Wycombe with a focus on innovation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a significant impact in drug development while working with cutting-edge technology.
- Qualifications: Degree in Pharmaceutical Sciences and experience in pharmaceutical development required.
- Other info: Join a dynamic team and enhance your skills in a supportive environment.
The predicted salary is between 60000 - 80000 £ per year.
A global pharmaceutical company based in High Wycombe is seeking a Principal Scientist to spearhead pharmacometric analysis and dataset creation.
Responsibilities include:
- Preparing R programming scripts
- Generating analysis datasets
- Ensuring quality control of inputs
Required qualifications include a degree in Pharmaceutical Sciences or equivalent, with substantial pharmaceutical development experience. The ideal candidate will have:
- Expertise with R programming
- A solid understanding of clinical development
- Strong communication skills
This role operates in a hybrid work environment.
Lead Pharmacometrics Scientist: R + NONMEM & AI Data Tools in High Wycombe employer: Johnson & Johnson
Contact Detail:
Johnson & Johnson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Pharmacometrics Scientist: R + NONMEM & AI Data Tools in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Lead Pharmacometrics Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your R programming scripts and any relevant projects you've worked on. This will give potential employers a taste of what you can bring to the table, especially when it comes to pharmacometric analysis.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on your knowledge of clinical development and quality control processes. We recommend doing mock interviews with friends or colleagues to build confidence and refine your communication 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 love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace Lead Pharmacometrics Scientist: R + NONMEM & AI Data Tools in High Wycombe
Some tips for your application 🫡
Show Off Your R Skills: Make sure to highlight your experience with R programming in your application. We want to see how you've used it in past projects, especially in pharmacometric analysis. Don't hold back on the details!
Tailor Your Experience: When writing your application, connect your background in Pharmaceutical Sciences directly to the role. We’re looking for someone who understands clinical development, so make that clear in your examples.
Quality Control Matters: Since quality control is a big part of this role, mention any relevant experience you have in ensuring data integrity and accuracy. We love candidates who take pride in their work and can demonstrate this skill.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Johnson & Johnson
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be prepared to discuss specific projects where you've used R, and think about how you can demonstrate your proficiency with practical examples.
✨Understand Pharmacometric Analysis
Familiarise yourself with pharmacometric analysis concepts and methodologies. Be ready to explain how you've applied these in past roles, especially in relation to dataset creation and quality control. This will show your depth of knowledge and experience.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating complex ideas simply and clearly. You might be asked to explain technical concepts, so think about how you can convey your expertise without overwhelming your audience.
✨Prepare for Hybrid Work Questions
Since this role operates in a hybrid environment, be ready to discuss your experience with remote collaboration tools and how you manage your time effectively. Highlight any strategies you've used to stay productive while working from home.