RWE Senior Data Analyst

IQVIA•Durham, NC

21h

About The Position

IQVIA is hiring to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company. This senior data analyst 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 this individual have prior experience in observational research utilizing EMR and claims data, 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). 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 The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.

Requirements

Master's Degree in Biostatistics, Epidemiology, Data Science 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
Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies
Experience in CRO/consultation with client engagement responsibilities
Excellent analytic and communication skills with attention to detail
Ability to effectively manage and prioritize multiple tasks and projects

Nice To Haves

Experience analyzing TriNetX RWD is preferred

Responsibilities

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)
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 sensor 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 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, and statistical expertise and independently bring project solutions to team for complex studies