Job Description

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)
• 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 

Job Tags

Remote job, Contract work,

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