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- Tasks: Drive oncology data analysis and contribute to innovative product development.
- Company: Leading healthtech company focused on revolutionising cancer care.
- Benefits: Competitive salary, research opportunities, and a chance to impact healthcare.
- Why this job: Join the forefront of cancer care innovation and improve lives through technology.
- Qualifications: PhD in relevant field, strong R skills, and experience with observational data.
- Other info: Collaborative environment with opportunities for scientific publications.
The predicted salary is between 36000 - 60000 £ per year.
A healthtech company in the United Kingdom is seeking a Research Scientist to drive oncology data analysis and product development. The ideal candidate has a PhD in a relevant field, strong skills in R, and experience with observational data.
Responsibilities include:
- Conducting in-depth analyses
- Collaborating with cross-functional teams
- Contributing to scientific publications
Candidates should demonstrate a passion for improving healthcare through technology. This role offers the chance to work at the forefront of cancer care innovation.
Real-World Oncology Data Scientist employer: Flatiron Health
Contact Detail:
Flatiron Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-World Oncology Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the oncology and healthtech fields 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 R projects and any analyses you've done with observational data. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current trends in oncology and healthtech. Be ready to discuss how your work can contribute to improving cancer care through technology.
✨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 show your enthusiasm for joining our team.
We think you need these skills to ace Real-World Oncology Data Scientist
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for improving healthcare through technology shine through. We want to see how your passion aligns with our mission at StudySmarter!
Highlight Relevant Experience: Make sure to showcase your PhD and any relevant experience you have with R and observational data. We’re looking for candidates who can hit the ground running, so don’t hold back on your achievements!
Tailor Your Application: Customise your application to reflect the specific responsibilities mentioned in the job description. We love it when candidates take the time to connect their skills with what we’re looking for!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in oncology data science.
How to prepare for a job interview at Flatiron Health
✨Know Your Data Inside Out
Make sure you’re well-versed in oncology data analysis and can discuss your previous projects confidently. Brush up on your R skills and be ready to explain how you've used them in real-world scenarios.
✨Show Your Passion for Healthcare Innovation
This role is all about improving healthcare through technology, so be prepared to share your thoughts on current trends in cancer care. Discuss any relevant research or innovations that excite you and how they could impact the field.
✨Collaborate Like a Pro
Since the job involves working with cross-functional teams, think of examples where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in past roles.
✨Prepare for Scientific Discussions
Expect questions about your experience with observational data and scientific publications. Be ready to discuss your research methodology and findings, and how they relate to the company’s mission in oncology.
