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- Tasks: Conduct research and analyses in oncology data to support healthcare solutions.
- Company: Dynamic life sciences company focused on real-world evidence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by tackling meaningful problems every day.
- Qualifications: PhD or Master's in relevant fields with experience in epidemiology and R coding.
- Other info: Collaborative culture with a focus on innovation and career development.
The predicted salary is between 28800 - 48000 £ per year.
In this role, you will work as a member of the Research Sciences (RS) department, primarily supporting our work in the UK, Germany, and Japan. This team provides customised real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners.
In this role, you will:
- Develop subject matter expertise in real-world oncology data to support data product development and evidence generation.
- Design and conduct in-depth analyses to assess data quality and fitness-for-use for real-world evidence generation in the international markets.
- Collaborate with cross-functional teams, including epidemiologists, data scientists, and oncologists, to refine methodologies and ensure rigorous study execution.
- Implement statistical analyses by translating analytic specifications from a statistical analysis plan into R code to generate descriptive and inferential statistics and develop visualisations.
- Contribute to external scientific publications, including manuscripts and conference abstracts, to advance the field of oncology real-world evidence.
- Stay current with epidemiological and statistical methodologies for analysing observational real-world data and deepen expertise in cancer biology, therapies, and outcomes across multiple tumour types.
Who You Are
You’re a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. In addition, you’re an analytical thinker and excellent communicator with experience or interest in supporting design and execution of real-world studies that support use cases across the Oncology product development life cycle. You are excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day.
You hold a PhD degree in Epidemiology, Biostatistics, Health Services Research, Health Economics and Outcomes Research, or a closely related field with 2 - 3 years of relevant experience (can include work experience before graduate school) or a Master’s degree in one of these fields with 4 - 5 years of relevant experience.
You have a deep understanding of observational data (e.g., registries, healthcare claims, or electronic health records) and have a track record of success applying epidemiologic approaches to problems in public health and/or pharmacoepidemiology.
You have experience working in a pharmaceutical, HEOR consulting, healthcare analytics, or academic research environment.
You’re proficient at coding in R.
You have strong communication skills, with experience contributing to study documentation.
You have effective organisational, time-management, and prioritisation skills necessary to contribute to multiple high-visibility projects in a timely fashion.
You have an agile mindset and adapt quickly to changes in project direction.
You are able to quickly learn and apply new information, skills and procedures.
You are passionate about our mission to improve healthcare through technology.
Optional: You have oncology experience.
Who We Are
Our people are at the centre of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.
Research Scientist employer: Flatiron Health
Contact Detail:
Flatiron Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, webinars, or local meetups related to oncology and real-world evidence. You never know who might have a lead on your dream job or can introduce you to someone at a company you're eyeing.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with R coding and any cool projects you've worked on. Make sure they see how your analytical skills can contribute to their team’s success.
✨Tailor Your Approach
Every interaction counts, so tailor your conversations to highlight how your background fits their needs. If they mention a specific challenge in oncology data, share how you've tackled similar issues before. This shows you’re not just another candidate; you’re the right fit!
✨Apply Through Our Website
Don’t forget to check out our website for openings! Applying directly through us not only gets your application in front of the right people but also shows your enthusiasm for being part of our mission to improve healthcare through technology.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Scientist role. Highlight your expertise in real-world data, oncology, and any relevant coding experience in R. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about improving healthcare through technology and how your background makes you a perfect fit for our team. Be genuine and let your personality come through!
Showcase Your Analytical Skills: Since this role involves a lot of data analysis, make sure to mention specific projects where you've successfully applied your analytical skills. We love seeing examples of how you've tackled complex problems in your previous work or studies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Flatiron Health
✨Know Your Data
Make sure you brush up on your knowledge of real-world oncology data. Be prepared to discuss how you've used observational data in past projects and how it relates to the role. This will show that you understand the core of what the company does and can contribute from day one.
✨Showcase Your Coding Skills
Since proficiency in R is a must, be ready to talk about specific projects where you've implemented statistical analyses using R. If possible, bring examples of your code or visualisations to demonstrate your skills. This will help you stand out as a candidate who can hit the ground running.
✨Collaborate Like a Pro
Highlight your experience working with cross-functional teams. Prepare examples of how you've collaborated with epidemiologists, data scientists, or oncologists in the past. This will show that you're not just a lone wolf but someone who thrives in a team environment, which is crucial for this role.
✨Stay Current and Curious
Demonstrate your passion for continuous learning by discussing recent developments in epidemiological and statistical methodologies. Mention any relevant conferences or publications you've followed. This shows that you're not only knowledgeable but also genuinely interested in advancing the field of oncology real-world evidence.
