Job Opportunities API

  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 R Subject 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   Statistical analysis plan development   Protocol / manuscript development    Study design and execution   Cross-functional team collaboration   Being able to track and update work in a software (Jira or ADO)   Minimum Qualifications   Master’s degree is Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field with 5-8 years of relevant post-graduation experience or PhD with 3+ years post-graduation experience    Advanced expertise in statistical programming an