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Contractor - Real World Evidence (RWE) Analyst

ICONMA, LLC

Santa Monica, CA

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JOB DETAILS
SALARY
$81.33–$86.33 Per Hour
SKILLS
Analysis Skills, Best Practices, Biology, Biometrics, Biostatistics, Communication Skills, Contract Research Organization (CRO), Cross-Functional, Data Analysis, Data Collection, Electronic Publishing, Epidemiology, Health Economics, Health Plan, Marketing, Medical Record System, Oncology, Performance Metrics, Pharmacovigilance, Presentation/Verbal Skills, Protocol Analysis, R Programming Language, Regulations, Reporting Dashboards, Reporting Skills, Research Protocols, Statistical Analysis System (SAS), Statistical Programming Languages, Statistics, Team Player, Time Management, Writing Skills
LOCATION
Santa Monica, CA
POSTED
27 days ago
Our client, is a Biopharmaceutical company, is looking for a Contractor - Real World Evidence (RWE) Analyst for their Santa Monica, CA/Remote location.
 
Responsibilities:
  • The RWE Analyst will contribute to the Kite Real-World Evidence/Health Economic Outcomes Research (RWE/HEOR) Team as part of an effort to contribute to the strategies of the broader Kite 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 Analyst 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 administrative claims, electronic health record (EHR), and observational registry databases. The RWE Analyst 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 Kite Biometrics, Kite Clinical Operations, and Kite Safety.
  • The RWE Analyst will have access to real-world databases licensed across Client and Kite and act as stewards of Client's and Kite’s best research practices, standards, and methodologies underlying the use of RWE.
  • 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., Kite Biometrics and programming team members)
  • Conduct data reviews for primary/secondary data collected to ensure quality and reliability
  • Communicate study results with a broader internal cross-functional audience
  • Adapt performance metrics and dashboards for RWE projects
  • Support preparation of reports and/or publication materials (e.g., abstracts, manuscripts)
  • Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
 
Requirements:
  • 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
OR
  • Bachelor’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 industry
  • Master’s degree or Doctoral level training in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution
  • 4+ years of oncology research experience highly preferred
  • In-depth knowledge of claims-based RWD (e.g., HealthVerity, Optum) and prior experience of using claims-based RWD in oncology research
  • Experience working with EHRs (e.g., IQVIA, Flatiron) and registry databases
  • Prior experience of using RWD for RWE in regulatory applications, post-marketing studies, and pharmacovigilance
  • Experience with external control arm (ECA) methodologies
  • In-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 in biopharmaceutical industry
  • Excellent verbal, written and presentation skills, including the ability to effectively communicate statistical methodology and analysis results
  • Ability to work independently and collaboratively in a constantly changing, diverse, and matrix environment
 
Why Should You Apply?

About the Company

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ICONMA, LLC