IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully within the environment of a prominent pharmaceutical company. This senior data analyst role sits within our Data Science, Analytics, and Technology Solutions (DATS) team and will be responsible for leading the development of datasets and conducting longitudinal analyses for observational studies in the oncology therapeutic area under a single client portfolio.
It is important that this individual has prior experience in observational research utilizing EMR and claims data, particularly in safety analyses, along with 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 will act as 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 (must have experience in PharMetrics Plus, Flatiron, or Tempus)
• 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, identification of diagnosis and treatment codes and applying statistical methods to handle censor data, confounding, and missing data.
• Collaborate with epidemiologists to define specifications for descriptive and complex statistics (e.g., longitudinal analysis, survival analysis, regression models) in studies using RWD for oncology research questions, including safety analyses.
• 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, and statistical expertise and independently bring project solutions to team for complex studies

Qualifications

• Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 3 years relevant experience
• Strong track record of analysis of RWD using claims, EMR, and lab data (Tempus, Flatiron or PharMetrics Plus is preferred)
• Experience analyzing oncology data and safety outcomes is preferred.
• Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL
• Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies
• Excellent analytic and communication skills with attention to detail
• 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 https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.