Real World Evidence (RWE) Analyst

Pay Rate Range: $80.00 - $86.33/hr. on W2 Location: Santa Monica or remote Job Description:The RWE Senior Manager will contribute to the *** Real-World Evidence/Health Economic Outcomes Research (RWE/HEOR) Team as part of an effort to contribute to the strategies of the broader *** Evidence Generation Team, which will include the conduct of timely, relevant, and rigorous analysis of real-world data (RWD) to address critical research questions and contribute to cross-functional initiatives.The RWE Senior Manager will be responsible for developing, reviewing, and providing feedback on study documents, such as protocols and statistical analysis plans, and executing planned data analyses using observational registry databases. The RWE Senior Manager will work closely with project teams to manage timelines and workflows, and to communicate results and updates to internal cross-functional stakeholders, including people from *** Biometrics, *** Clinical Operations, and *** Safety. Familiarity with the multiple myeloma disease landscape will be crucial to performing well in this role.The RWE Senior Manager will have access to real-world databases licensed across *** and *** and act as stewards of *** and *** best research practices, standards, and methodologies underlying the use of RWE.Key Responsibilities:Support development of and provide critical appraisal of study protocols for research projects using RWD (e.g., medical claims, EHR, and observational registry databases)Lead or support development of statistical analysis plans in collaboration with internal stakeholders (e.g., *** Biometrics and programming team members)Conduct data reviews for primary/secondary data collected to ensure quality and reliabilityCommunicate study results with a broader internal cross-functional audienceAdapt performance metrics and dashboards for RWE projectsSupport preparation of reports and/or publication materials (e.g., abstracts, manuscripts)Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practicesBasic Qualifications:Master's degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 4+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industryBachelor's degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 6+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industryStrongly Preferred Qualifications:Experience with oncology research in observational registry RWDFamiliarity with multiple myeloma disease landscapeIn-depth understanding of the principles of epidemiologic research methods and statistical concepts in support of the analyses and demonstrated proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)Experience working with EHR databases (e.g., IQVIA, Flatiron)Optional Qualifications:4+ years of oncology research experience highly preferredIn-depth knowledge of claims-based RWD (e.g., HealthVerity, Optum) and prior experience of using claims-based RWD in oncology researchPrior experience of using RWD for RWE in regulatory applications, post-marketing studies, and pharmacovigilanceExperience with external control arm (ECA) methodologiesExperience in biopharmaceutical industry