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- Tasks: Design and conduct studies to generate real-world evidence in healthcare.
- Company: Join a leading organisation focused on innovative health solutions.
- Benefits: Enjoy flexible work options, competitive salary, and professional development opportunities.
- Why this job: Make a real impact in public health while collaborating with top experts in the field.
- Qualifications: PhD in Epidemiology or related field; 4+ years of relevant experience required.
- Other info: Opportunity for co-authoring scientific publications and contributing to impactful research.
The predicted salary is between 43200 - 72000 £ per year.
Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to: natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies.
Lead development of study protocols, analysis plans, and study reports to answer methodologic questions of priority to RWE. Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy. Construct cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed.
Conduct analyses for descriptive and comparative research using RWD for methodologic research questions. Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, and white papers. Support the effective communication of study/analysis results to support internal and external decisions.
Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities. Coauthor abstracts and manuscripts for external dissemination of methodologic study results.
Minimum requirements:
- PhD in Epidemiology or related field with a minimum of four (4) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment.
- Master’s degree in epidemiology or relevant scientific field, plus 7-9 years of experience in lieu of PhD may be acceptable.
- Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development.
- Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases.
- A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred.
- Demonstrated ability to function with an increasing level of autonomy and to develop productive cross-functional collaborations in a matrix environment.
FSP Epidemiologist/Sr Epidemiologist employer: IQVIA Argentina
Contact Detail:
IQVIA Argentina Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FSP Epidemiologist/Sr Epidemiologist
✨Tip Number 1
Network with professionals in the epidemiology field, especially those who have experience in the pharmaceutical or biotechnology industries. Attend relevant conferences and seminars to meet potential colleagues and learn about the latest trends and opportunities.
✨Tip Number 2
Familiarise yourself with the latest observational research methods and secondary data sources. Being well-versed in these areas will not only enhance your knowledge but also demonstrate your commitment to the role during interviews.
✨Tip Number 3
Consider reaching out to current or former employees at StudySmarter to gain insights into the company culture and expectations for the FSP Epidemiologist role. This can help you tailor your approach and show that you understand the organisation's values.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail, particularly any projects involving real-world evidence and observational studies. Highlight your ability to lead projects and collaborate across functions, as this is crucial for success in this role.
We think you need these skills to ace FSP Epidemiologist/Sr Epidemiologist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in epidemiology, particularly any work related to observational research methods. Emphasise your PhD or Master's degree and any post-doctoral experience, as well as your familiarity with secondary data sources.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about epidemiology and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or studies you've led that relate to real-world evidence generation.
Showcase Your Publications: If you have scientific publications, include them in your application. Highlight those that demonstrate your expertise in observational study design and analysis, as this will strengthen your candidacy.
Prepare for Methodological Questions: Be ready to discuss your understanding of observational research methods and how you've applied them in past roles. Consider preparing examples of how you've developed study protocols or analysis plans, as these are key aspects of the role.
How to prepare for a job interview at IQVIA Argentina
✨Know Your Epidemiology
Make sure you have a solid grasp of epidemiological concepts and methods. Be prepared to discuss your experience with observational research, study design, and data analysis, as these are crucial for the role.
✨Showcase Your Publications
Bring copies or references of your scientific publications that demonstrate your expertise in observational study design and analysis. This will help illustrate your qualifications and contributions to the field.
✨Prepare for Technical Questions
Expect technical questions related to real-world evidence (RWE) strategies, data sources, and statistical analysis plans. Brush up on your knowledge of secondary data sources and be ready to discuss how you've used them in past projects.
✨Demonstrate Collaboration Skills
Highlight your ability to work in cross-functional teams. Share examples of how you've successfully collaborated with different departments or stakeholders to achieve project goals, as this is essential in a matrix environment.
