At a Glance
- Tasks: Dive into real-world data analysis and tackle complex statistical programming challenges.
- Company: Join a leading health data company with a commitment to innovation and collaboration.
- Benefits: Enjoy competitive salary, flexible PTO, health benefits, and a company car allowance.
- Other info: Mentorship opportunities and a dynamic work environment await you!
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Degree in a scientific field and experience with SQL, SAS, or R required.
The predicted salary is between 80600 - 145000 € per year.
Open to US, Canada, and UK only. No sponsorship available for this role.
Job Responsibilities
- Heavy statistical programming and data review for real‑world (RW) data analyses.
- Experience with commercial databases such as Optum, HealthVerity, or IQVIA PharmMetrics.
- Support protocol and statistical analysis plan (SAP) review for epidemiologists.
- ICD knowledge and experience with clinical terminology.
- Develop and maintain databases and data specifications (e.g., OMOP CDM).
- Create and validate analysis datasets, tables, listings, graphs, and other deliverables.
- Review data and program outputs against protocol requirements and flag issues.
- Identify and resolve messy data issues, proposing solutions.
- Use SQL, SAS, R (or Python) to develop custom programming code for RW datasets.
- Ensure outputs meet quality standards, follow SOPs and regulatory guidelines (ICH, etc.).
- Maintain thorough documentation, testing, and verification records for inspection readiness.
- Manage scheduling and time constraints across multiple projects, prioritising tasks based on management goals.
- Participate in internal and sponsor meetings, providing input on study protocols and specifications.
- Mentor junior programmers and develop training materials.
- Additional duties as assigned.
Minimum Requirements
- Education: Undergraduate or master’s degree in a scientific or statistical discipline (e.g., biostatistics, mathematics, epidemiology).
- Data Experience: eHR, claims data (Optum, HealthVerity, IQVIA PharmMetrics). Nice to have: MarketScan, VA, Medicaid, Medicare.
- Programming Languages: SAS or R (must have SQL).
- Experience with cohort derivation and index‑date definition.
- Statistical modeling: GLM, logistic regression, Cox proportional hazards, propensity score matching, incidence computation.
- OMOP CDM understanding and ability to transform healthcare data into a common format.
- Experience with AI/ML for LLM and workflow is ideal (e.g., AI/ML modeling, GitHub version control).
- Excellent written and verbal communication skills.
- Fluency in English.
Salary Range $80,600.00 – $145,000.00
Benefits Company car or car allowance, medical, dental and vision health benefits, company match 401(k), employee stock purchase plan, eligibility for commissions/bonus based on performance, flexible paid time off (PTO) and sick time. Paid sick time eligibility may vary by state or municipality as required by law. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.
EEO Statement Syneos Health is an Equal Opportunity Employer. The Company is committed to compliance with the Americans with Disabilities Act, providing reasonable accommodations as needed to assist employees or applicants in performing the essential functions of the job.
Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only) employer: Syneos Health, Inc.
Syneos Health is an exceptional employer that prioritises employee well-being and professional growth, offering a comprehensive benefits package including medical, dental, and vision health benefits, as well as a company car or allowance. With a collaborative work culture that encourages mentorship and the development of junior programmers, employees are empowered to thrive in their roles while contributing to meaningful real-world data analyses in a dynamic environment across 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)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to real-world data. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving SQL, SAS, or R. We love seeing practical examples of your work, so make sure to highlight your experience with real-world data analyses.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to statistical programming and data review. We recommend practising your responses to technical questions and being ready to discuss your experience with databases like Optum or IQVIA. Confidence is key!
✨Apply Through Our Website
When you find a role that fits, don’t hesitate to 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 passionate about real-world 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 the role. Highlight your experience with statistical programming and real-world data, especially if you've worked with databases like Optum or IQVIA. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you’ve used them! Whether it’s SQL, SAS, or R, give examples of projects where you’ve applied these tools. This helps us understand your practical experience.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to apply 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 to do!
How to prepare for a job interview at Syneos Health, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in the specific databases mentioned, like Optum and IQVIA PharmMetrics. Brush up on your experience with real-world data analyses and be ready to discuss how you've tackled messy data issues in the past.
✨Show Off Your Programming Skills
Be prepared to talk about your proficiency in SQL, SAS, R, or Python. Have examples ready that demonstrate your ability to develop custom programming code for RW datasets and how you’ve ensured outputs meet quality standards.
✨Understand the Protocols
Familiarise yourself with protocol and statistical analysis plan (SAP) reviews. Be ready to discuss how you’ve contributed to these processes in previous roles and how you can support epidemiologists effectively.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must, practice articulating your thoughts clearly. Prepare to discuss your experience in internal and sponsor meetings, and how you’ve mentored junior programmers in the past.
