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Senior Real-World Data Scientist/Analytics Consultant (Clinical or pharmaceutical industry experience is required)-(Remote)

ClinChoiceRemote · Posted 2 months ago
Full-timeRemoteEst. 140,000 USD
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Description

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….

ClinChoice is searching for a Senior Real-World Data Scientist/Analytics Consultant to join one of our clients.

ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research with a focus on exceptional quality, career development, and a supportive culture. As we expand our presence and offerings, we’re looking for an experienced Senior Real-World Data Scientist/Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor.

Core Function Description:

Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research. Ensure quality standards and methodological rigor across projects through development of patient cohorts and validation of key variables.

Required Experience:

  • Leadership of RWD analysis strategy and execution
  • Lead development of technical specifications and study methodology
  • Statistical programing proficiency (R, SAS, SQL., Python)
  • Oversight of quality control processes
  • Cross-functional team collaboration
  • Management of project timelines and deliverables
  • Development of best practices and standards
  • Demonstrated ability to communicate complex analyses to non-technical stakeholders

Technical Expertise

  • Proficiency in SAS or R & SQL is a must, expectation to be programming independently, creating packages, taking requirements, writing specifications, work with complex data structures and study design.
  • Experience in more complex programming, such as propensity score analysis, lines of therapy, Sankey diagram, machine learning
  • Experience with complex statistical programing, such as propensity score matching
  • Experience applying machine learning methods (such as LASSO, DT, RF, and XGBoost) with RWD
  • Experience with OHDSI or DARWIN tool sets in RSubject Matter Expertise
  • Understanding of epidemiology / outcomes research, experience with study design and execution, Biomarker/genomic data sources
  • Experience with healthcare databases:
  • Claims (examples include Optum, MarketScan, Pharmetrics+, HealthVerity, CPRD)
  • Electronic Health Records (examples include IQVIA, Flatiron, Concert AI, TriNetX)
  • Experience with OMOP CDM or similar common data model framework
  • Knowledge of US/international data sources
  • For clinical trial analysis specifically, experience with psychometric validation
  • Project Implementation capability (reviewing, contributing to technical review and suggesting edits, executing) in the following are expected

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