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- Tasks: Lead analyses on health-related data for psychometric endpoints and manage multiple complex studies.
- Company: IQVIA is a global leader in clinical research and healthcare intelligence, improving patient outcomes worldwide.
- Benefits: Enjoy a full-time role with opportunities for remote work and professional growth.
- Why this job: Join a dynamic team making a real impact in healthcare through innovative data solutions.
- Qualifications: Master's or PhD in psychometrics with relevant experience; strong skills in SAS and R programming required.
- Other info: Be part of a collaborative environment focused on advancing medical treatments and population health.
The predicted salary is between 36000 - 60000 £ per year.
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Join to apply for the RWE Data Analyst – PRO/COA Psychometrics role at IQVIA
RWE Data Analyst – PRO/COA Psychometrics
United Kingdom and Europe
Job Overview
Real world evidence (RWE) has become a vital complement to the traditional clinical trial in the demonstration of the value and safety of new medicines. This data analyst role sits within our Real World Solutions team and will be responsible for leading analyses related to PRO/COA endpoints using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, 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).
RWE Data Analyst – PRO/COA Psychometrics
United Kingdom and Europe
Job Overview
Real world evidence (RWE) has become a vital complement to the traditional clinical trial in the demonstration of the value and safety of new medicines. This data analyst role sits within our Real World Solutions team and will be responsible for leading analyses related to PRO/COA endpoints using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, 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
Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions
Mastery in both classical and modern test theories and PRO/COA validation to program analytics
Support integration of PRO clinical trial results into value dossier and regulatory submission packages
Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc)
Implement CDISC standards as required for project deliverables
Conduct QC programming for descriptive and complex studies in RWD
Contribute to writing study reports and use of visualization tools for reporting and data synthesis
Communicate timelines, progress reports, and results to project team and key stakeholders
Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies
Closely collaborate with scientific team to develop and refine analytic procedures and workflows
Qualifications
Master’s degree in psychometrics, measurement science, analytic psychology, or related field with 3 years relevant experience or PhD in psychometrics with 1-year relevant experience
Knowledge/experience with PRO/COA methodologies, statistics, programming, and HEOR studies
Formal training and demonstrated proficiency in statistical programming using SAS and R, including macros and basic SQL required
Knowledge of PRO endpoint psychometric analysis using clinical trial data required
Strong written and verbal communication skills including technical writing skills
Ability to effectively manage and prioritize multiple tasks and projects
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Pharmaceutical Manufacturing
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RWE Data Analyst - PRO/COA Psychometrics employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RWE Data Analyst - PRO/COA Psychometrics
✨Tip Number 1
Familiarise yourself with the latest trends in real-world evidence (RWE) and psychometric methodologies. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the field of RWE and psychometrics. Attend relevant webinars, workshops, or conferences to make connections and learn from others' experiences, which can give you an edge when applying.
✨Tip Number 3
Brush up on your statistical programming skills, particularly in SAS and R. Consider working on personal projects or contributing to open-source projects to showcase your abilities and practical experience.
✨Tip Number 4
Prepare to discuss specific examples of how you've managed multiple studies or complex analyses in the past. Being able to articulate your experience clearly will demonstrate your capability to handle the responsibilities of the role.
We think you need these skills to ace RWE Data Analyst - PRO/COA Psychometrics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in psychometrics, observational research, and statistical programming. Use keywords from the job description to demonstrate your fit for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about real-world evidence and how your skills align with the responsibilities of the RWE Data Analyst position. Mention specific projects or experiences that showcase your expertise.
Showcase Technical Skills: Emphasise your proficiency in SAS and R, particularly in relation to PRO/COA methodologies. Provide examples of how you've used these tools in past roles to solve complex problems or manage multiple studies.
Highlight Communication Abilities: Since the role requires strong written and verbal communication skills, include examples of how you've effectively communicated complex data findings to stakeholders or contributed to study reports in previous positions.
How to prepare for a job interview at IQVIA
✨Showcase Your Statistical Skills
Make sure to highlight your proficiency in statistical programming, especially with SAS and R. Be prepared to discuss specific projects where you've applied these skills, as this role heavily relies on data analysis and programming.
✨Understand PRO/COA Methodologies
Familiarise yourself with Patient-Reported Outcomes (PRO) and Clinical Outcome Assessments (COA). Be ready to explain how you have used these methodologies in past roles, as they are crucial for the analyses you'll be leading.
✨Prepare for Technical Questions
Expect technical questions related to psychometric analysis and observational research. Brush up on classical and modern test theories, and be ready to discuss how you would approach complex analyses in real-world data.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex statistical concepts in simple terms, as you'll need to convey findings to both technical and non-technical stakeholders.
