Epidemiologist/Real World Evidence (RWE) Analyst

Remote • Posted 60+ days ago • Updated 2 days ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
Remote
$80 - $90/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • RWE
  • Real World Evidence
  • RWD
  • Real World Data

Summary

About Nexinfo

NexInfo is a consulting firm focused on improving business processes and automation in the Supply Chain and Product Lifecycle Management sectors. They offer services in business process design, software implementations, managed services, staff augmentation, and SaaS solutions. The company aims to help businesses across industries achieve their goals through industry best practices, lean process design, and advanced software solutions. Their ERP-related services address challenges such as inventory management, product lifecycle management, demand management, forecasting, sales and operations planning, business intelligence, security compliance, and financial alignment.

Job Title: Real World Evidence (RWE) Analyst

Location: Santa Monica CA

Type: Contract

The RWE analyst will report to RWD Platform Lead and will be responsible for conducting timely, relevant, and rigorously analysis of RWD to address critical research questions as well as contribute to (cross-) functional initiatives. The role involves working with a wide range of real-world databases licensed across Gilead and Kite, ensuring the highest standards of RWD use methodologies, and best practices. This position will contribute to cross-functional initiatives and collaborate with Kite Biometrics team and the RWE analytics group within the Clinical Data Sciences RWE organization

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

Thanks & Regards,

Joseph Thambi
Senior Executive - Talent Acquisition

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: nexinfo
  • Position Id: 8576944
  • Posted 30+ days ago
Contact the job poster
JT

Joseph Thambi

Recruiter @ NexInfo Solutions, Inc.
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