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- Tasks: Lead the development of datasets and conduct analyses for observational studies in virology.
- Company: Join IQVIA, a global leader in clinical research and healthcare intelligence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes through innovative research and data analysis.
- Qualifications: Master's or PhD in relevant fields with strong programming and analytical skills.
- Other info: Collaborative environment with a focus on integrity and professional development.
The predicted salary is between 36000 - 60000 £ per year.
IQVIA is hiring to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company. This Epidemiological Programmer role sits within our Real World Solutions team and will be responsible for leading development of datasets and conducting longitudinal analyses for observational studies in the virology therapeutic area under one client portfolio.
It is important for this individual to have demonstrated experience and applied proficiency in observational research utilizing EMR and claims data, a strong statistical programming skillset, both knowledge and applied experience with epidemiological study design, terminology, cohort building, and RWE outcome measures, and experience managing multiple studies and complex analyses.
In this role, individuals will have access to real-world databases and act as the stewards of the client's best practices, standards, and methodologies underlying the use of real-world data (RWD).
Essential Functions- Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (e.g. Optum, HealthVerity, TriNetX, IQVIA PharMetrics Plus).
- Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.
- Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle censored data, confounding, differing person-time, and missing data.
- Collaborate with epidemiologists on study design and methodology, as well as define specifications for descriptive and complex statistics (e.g. longitudinal analysis, survival analysis, regression models, propensity score methods) in studies using RWD for virology research questions.
- Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR).
- Support development of other study documents including protocols, statistical analysis plans, and study reports.
- Communicate timelines, progress reports, and results to project team and key stakeholders.
- Provide technical, programming, statistical, and epidemiological expertise and independently bring project solutions to team for complex studies.
- Master's Degree in Biostatistics, Epidemiology, Outcomes Research or related field with 5-8 years relevant experience or PhD with 3 years relevant experience required.
- Strong track record of analysis of RWD using EMR and claims data.
- Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL required.
- Demonstrated experience and applied proficiency of RWE study design, terminology, cohort building, and analytic methodologies.
- Prior pharmaceutical experience.
- Excellent analytic and communication skills with attention to detail.
- Ability to effectively manage and prioritize multiple tasks and projects.
Epidemiological Programmer, Real World Evidence in Reading employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiological Programmer, Real World Evidence in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at IQVIA. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with RWD, EMR, and claims data. This will help you demonstrate your expertise in observational research during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex statistical methods and epidemiological study designs. Mock interviews with friends or mentors can help you articulate your thoughts clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the IQVIA team.
We think you need these skills to ace Epidemiological Programmer, Real World Evidence in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Epidemiological Programmer role. Highlight your experience with observational research, EMR, and claims data. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t hold back on showcasing your statistical programming skills! Mention your proficiency in SAS, R, and SQL, and any relevant projects you've worked on. This is your chance to shine!
Be Clear and Concise: When writing your cover letter, keep it clear and concise. Explain why you're a great fit for the role and how your background aligns with our needs. We appreciate straightforward communication!
Apply Through Our Website: Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at IQVIA
✨Know Your Data Sources
Familiarise yourself with the specific real-world data sources mentioned in the job description, like EMR and claims data. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the role.
✨Brush Up on Statistical Methods
Make sure you can confidently talk about advanced statistical methods relevant to epidemiological studies, such as regression models and survival analysis. Prepare examples from your previous work where you applied these techniques to solve complex problems.
✨Demonstrate Project Management Skills
Since managing multiple studies is key for this role, think of specific instances where you successfully juggled various projects. Highlight your organisational skills and how you prioritised tasks to meet deadlines while maintaining quality.
✨Communicate Clearly
Effective communication is crucial, especially when discussing timelines and results with stakeholders. Practice explaining complex statistical concepts in simple terms, as this will demonstrate your ability to convey important information clearly and effectively.
