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Real World Evidence (RWE) Analyst
Job Description
• Support development of and provide critical appraisal of study protocols for research projects using RWD (e.g., medical claims, EHR, and observational registry databases)
• Partner closely with internal and external stakeholders, including the Biostatistics and Programming team, to develop statistical analysis plans using descriptive and complex study designs
• Lead or support generation of code lists and identification of claims- or other RWD-based algorithms applicable to RWD research, by working collaboratively with internal/external researchers and/or via literature review
• Lead or support data analyses/QC using claims, EHR, and/or registry databases in close collaboration with internal and external stakeholders
• Conduct thorough data reviews for primary/secondary data collected to ensure quality and reliability
• Communicate the study results with a broader audience internally and externally
• Effectively manage internal and external stakeholder expectations regarding strategic objectives and execution of research
• Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
Basic 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 industry
Preferred Qualifications:
• Doctoral level training in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution
• 4+ years of oncology research experience highly preferred
• Prior experience of using RWD in regulatory applications, post-marketing studies, and pharmacovigilance
• Prior experience in projects involving Flatiron EHR and/or chart review data from clinical sites
• In-depth knowledge of claims-based RWD (e.g., Optum, HealthVerity) and prior experience of using claims-based RWD in oncology research
• In-depth knowledge of advanced statistical methods to support complex study designs
• Proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)
• Excellent interpersonal communication and study management skills
• Excellent verbal, written and presentation skills, including the ability to effectively communicate study results in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings
• Ability to work effectively in a constantly changing, diverse, and matrix environment
Pay ranges between $70-77/hr based on experience
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
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