At a Glance
- Tasks: Analyse real-world data and collaborate with experts to drive impactful insights.
- Company: Join a leading health analytics company committed to innovation and inclusivity.
- Benefits: Enjoy health benefits, flexible PTO, and a competitive salary with bonus potential.
- Other info: Work in a dynamic environment with opportunities for growth and development.
- Why this job: Make a difference in healthcare by leveraging your programming and data skills.
- Qualifications: Degree in a scientific field and experience with SAS, R, or Python required.
The predicted salary is between 80600 - 145000 £ per year.
Open to US, Canada, and UK only – No sponsorship available for this role. Heavy programming and data review for real‑world data analyses. Support protocol and SAP review in collaboration with epidemiologists. Apply ICD knowledge and experience.
Minimum Requirements
- Data experience with eHR and claims databases such as Optum, HealthVerity, or IQVIA PharmMetrics. Optional: MarketScan, VA data, Medicaid, Medicare.
- Proficiency in SAS or R, and SQL.
- Programmatic cohort derivation and index date definition.
- Statistical modeling skills: GLM, logistic regression, Cox, propensity score matching, incidence computation.
- Understanding of OMOP Common Data Model and ability to transform healthcare data.
- Experience with AI/ML, including large language models, is ideal.
- GitHub version control experience is desirable.
Qualifications
- Undergraduate or master’s degree in a scientific or statistical discipline (e.g., biostatistics, mathematics, epidemiology).
- Extensive programming experience in SAS, R, Python or other required software within a real‑world data environment.
- Excellent written and verbal communication skills.
- Proficiency in English.
Benefits
- Company car or car allowance.
- Health benefits – medical, dental, vision.
- Company match 401(k) and employee stock purchase plan eligibility.
- Commissions/bonus based on company and individual performance.
- Flexible paid time off (PTO) and sick time.
Salary Range $80,600.00 – $145,000.00
Equal Opportunity Employment Syneos Health is an equal‑opportunity employer. The Company complies with the Americans with Disabilities Act and provides reasonable accommodations to assist employees when appropriate. No contract is created by the job description.
Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only) employer: Syneos Health
Syneos Health is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Sr RW Programmer/Sr Data Scientist/Analyst role. With a strong emphasis on employee growth, we offer comprehensive health benefits, flexible paid time off, and opportunities for performance-based bonuses, all while working in a dynamic environment focused on real-world data analysis in the US and UK.
StudySmarter Expert Advice🤫
We think this is how you could land Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects or data analyses. We love seeing real-world applications of your expertise, so don’t be shy about sharing your GitHub or any relevant work.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to real-world data analysis. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals who are ready to make an impact in the world of data.
We think you need these skills to ace Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your programming and data analysis skills, especially in SAS, R, and SQL. We want to see how your experience aligns with the real-world data analyses we do at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, especially those involving eHR or claims databases, make sure to include them. We love seeing practical examples of your work, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter should reflect your passion for data science and your understanding of the role. Use it as a chance to explain why you’re a great fit for us and how you can contribute to our team.
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 Syneos Health
✨Know Your Data Inside Out
Make sure you’re well-versed in real-world data analyses, especially with eHR and claims databases like Optum or IQVIA. Brush up on your statistical modelling skills too, as you might be asked to discuss GLM or logistic regression during the interview.
✨Show Off Your Programming Skills
Be ready to demonstrate your proficiency in SAS, R, or SQL. You could be asked to solve a problem on the spot, so practice coding challenges beforehand. If you have experience with Python or AI/ML, don’t forget to mention that!
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. You might need to collaborate with epidemiologists, so being able to articulate your thoughts clearly will set you apart.
✨Familiarise Yourself with GitHub
If you have GitHub experience, be prepared to discuss how you’ve used version control in your projects. If not, it’s worth learning the basics, as it shows you’re up-to-date with industry practices.
