At a Glance
- Tasks: Transform cancer care by programming in R and analysing real-world data.
- Company: Join a forward-thinking company dedicated to modernising oncology.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Be a changemaker in healthcare and make a real difference in patients' lives.
- Qualifications: PhD or Master's in relevant fields; strong R programming skills required.
The predicted salary is between 30000 - 40000 £ per year.
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We’re looking for an Associate Statistical Programmer who is well-versed in R to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer.
What You'll Do
- Work as a member of the Research Sciences (RS) department, primarily supporting the Custom Solutions and Services (CSS) team within the Client Solutions organization.
- Accurately translate analytic specifications from a statistical analysis plan into R code to create analytic datasets, generate descriptive and inferential statistics, and visualizations, etc., in consultation with the more senior programmers and/or study principal investigator.
- Build subject matter expertise and discuss capabilities of a variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, and claims data.
- Work collaboratively with cross-functional stakeholders across our medical and scientific organization to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner.
- Contribute to continuous improvement of Flatiron’s proprietary analytical tooling and templates.
- Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence.
Who You Are
- A kind, passionate and collaborative problem-solver.
- An analytical thinker and excellent communicator with experience or interest in analyzing real-world data (e.g., healthcare claims or electronic health records).
- Excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day.
- Holds a Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics with no industry experience, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field, or a Master’s degree and 2 - 3 years of relevant experience or a Bachelor’s degree in one of these fields with 4 - 5 years of relevant experience.
- An excellent programmer in R (including tidyverse) and comfortable working in Git-based environments (e.g., Github, Gitlab).
- Experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records).
- Strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion.
- Able to work effectively in a constantly changing, diverse, and matrix environment.
- Able to quickly learn and apply new information, skills and procedures.
- Passionate about our mission to improve healthcare through technology.
Extra credit
- Experience working with oncology datasets.
- Experience working in a pharmaceutical/HEOR consulting environment.
Where you’ll work
In this hybrid role, you’ll have a defined work location that includes work from home and 3 office days set by you and your team.
Associate Research Scientist, Statistical Programming in Durham employer: Flatiron Health
Join a pioneering organisation dedicated to transforming cancer care, where integrity and growth are at the heart of our mission. As an Associate Research Scientist in Statistical Programming, you will thrive in a collaborative environment that values your contributions and offers ample opportunities for professional development. With a flexible hybrid work model and a commitment to leveraging real-world data for impactful research, you'll be part of a team that is truly making a difference in the lives of those affected by cancer.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Research Scientist, Statistical Programming in Durham
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, webinars, or local meetups related to oncology and statistical programming. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your R programming projects, especially those involving real-world data. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Ace the Interview
Prepare for your interviews by practising common questions related to statistical programming and oncology. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to our mission of improving cancer care.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace Associate Research Scientist, Statistical Programming in Durham
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for cancer care and how you can contribute to our mission. Share personal experiences or motivations that drive you to improve healthcare through technology.
Tailor Your CV:Make sure your CV highlights your programming skills in R and any relevant experience with real-world data. 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:Use your cover letter to tell us why you're the perfect fit for this role. Discuss your analytical thinking and problem-solving skills, and how they relate to the work we do at StudySmarter.
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!
How to prepare for a job interview at Flatiron Health
✨Know Your R Inside Out
Make sure you brush up on your R programming skills, especially the tidyverse. Be prepared to discuss how you've used R in past projects, and maybe even solve a coding problem during the interview. Show them you're not just familiar with R, but that you can really leverage it to tackle real-world data challenges.
✨Understand Real-World Data
Familiarise yourself with different types of real-world data, like EHR-derived data and claims data. Be ready to talk about how these datasets can be used in cancer research and how your analytical skills can contribute to generating meaningful insights from them.
✨Show Your Collaborative Spirit
This role involves working with cross-functional teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated with others in previous roles or projects, and emphasise your communication skills. They want to see that you can work well with diverse stakeholders.
✨Be Ready for Problem-Solving
Prepare to discuss specific problems you've tackled in your previous work or studies. Think about challenges related to data analysis or project management and how you approached them. This will demonstrate your analytical thinking and problem-solving abilities, which are key for this role.
