At a Glance
- Tasks: Lead the design of data pipelines and analytics for clinical trial data.
- Company: Global healthcare intelligence firm focused on innovation.
- Benefits: Competitive salary, diverse workplace, and fully remote work options.
- Why this job: Transform healthcare with cutting-edge data solutions and collaborate with top pharmaceutical clients.
- Qualifications: 8+ years in data engineering, strong Python skills, and experience with cloud platforms.
- Other info: Join a diverse team committed to inclusion and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A global healthcare intelligence firm is seeking a Senior Clinical Data Science Programmer for a fully remote position. You will lead the design and delivery of enterprise-scale data pipelines and analytics technologies, collaborating with top pharmaceutical clients to transform clinical trial data management.
The ideal candidate will have over 8 years of experience in data engineering, strong skills in Python, cloud platforms, and proven expertise in building complex data pipelines. This role offers a competitive salary and benefits alongside a commitment to diversity and inclusion.
Remote Lead: Clinical Data Science & ETL Architect in Reading employer: ICON Strategic Solutions
Contact Detail:
ICON Strategic Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead: Clinical Data Science & ETL Architect in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical data science field on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. This is a great way to demonstrate your expertise in Python and cloud platforms to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. We recommend practicing coding challenges and discussing your past projects to highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Lead: Clinical Data Science & ETL Architect in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and showcases your skills in Python and cloud platforms. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical data science and how your expertise can help us transform clinical trial data management. Keep it engaging and personal!
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just listing responsibilities. We love to see quantifiable results, so if you’ve built complex data pipelines or improved processes, let us know!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application 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 ICON Strategic Solutions
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering and clinical data management. Be prepared to discuss your experience with building complex data pipelines and how you've used Python and cloud platforms in your previous roles.
✨Showcase Your Leadership Skills
As a Lead, you'll need to demonstrate your ability to guide teams and projects. Think of examples where you've successfully led a project or mentored others, and be ready to share these stories during the interview.
✨Understand the Company’s Mission
Research the global healthcare intelligence firm and understand their commitment to diversity and inclusion. Be prepared to discuss how your values align with theirs and how you can contribute to their mission.
✨Prepare for Technical Questions
Expect technical questions related to data science and ETL processes. Brush up on your technical skills and be ready to solve problems on the spot. Practising coding challenges in Python can give you an edge.