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Real World Evidence (RWE) Project Analyst - REMOTE


PayCompetitive
LocationSpartanburg/South Carolina
Employment typeFull-Time

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  • Job Description

      Req#: 1466545
      Employer Industry: Life Sciences and Real-World Evidence (RWE)

      Why consider this job opportunity:
      - Opportunity for career advancement and growth within the organization
      - Work remotely with flexibility in a corporate office or home office environment
      - Collaborative and dynamic work environment with a focus on delivering high-quality projects
      - Engage directly with clients and stakeholders, enhancing professional networking
      - Commitment to data quality and scientific rigor, making a positive impact in the life sciences industry

      What to Expect (Job Responsibilities):
      - Lead the execution of RWE data projects with Pharma sponsors, ensuring successful delivery from initiation to final dataset delivery
      - Serve as the subject matter expert on clinical content, maintaining data integrity and relevance
      - Collaborate with data science, data engineering, and NLP teams to guide data extraction and transformation
      - Participate in client-facing meetings, providing updates and addressing challenges in data projects
      - Ensure timely and compliant delivery of datasets and supporting documentation, including data dictionaries and cohort definitions

      What is Required (Qualifications):
      - Bachelor of Science in a health-related field, or equivalent experience
      - 5+ years of experience in clinical data analysis or delivery, preferably in life sciences or RWE studies
      - Strong understanding of clinical terminologies (ICD-10, SNOMED, LOINC, RxNorm) and patient cohort logic
      - Proven ability to interpret complex clinical concepts and translate them into structured analytics
      - Exceptional attention to detail and commitment to data quality and scientific rigor

      How to Stand Out (Preferred Qualifications):
      - Experience with EMR-derived data (e.g., Epic, Cerner) and claims data
      - Familiarity with CDISC, OMOP, or other standardized data models
      - Proficiency in SQL, Python, or similar tools for data querying and analysis
      - Experience working directly with external stakeholders or clients in a CRO or pharmaceutical setting
      - Knowledge of oncology data or therapeutic area-specific outcomes and treatments

      #LifeSciences #RealWorldEvidence #ClinicalDataAnalysis #DataQuality #CareerOpportunity
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