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

Requirements

• 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 and observational research methods
• Comprehensive experience with healthcare data sources and analysis
• Proven ability to lead projects autonomously in a matrix environment
• Track record of managing priorities and performance targets
• Additional requirements may include:
• Oncology Specific: Experience in oncology observational studies, experience in Flatiron and ConcertAI, understanding of programming logic in lines of therapy
• Molecular Epi Specific:
• CCloud-based SQL is desirable
• Experience with Clinico-genomic multi-modal data (e.g. Tempus AI) or population biobank data (UK biobank)
• Experience and comfort to multitasking and working in a matrix environment
• Tableau or Power BI or other graphics tool is a plus
• HEOR Specific:
• SAS/SQL required, additional experience with R beneficial
• Experience with health economics and outcomes research (HEOR) methodologies, including cost analysis, burden of illness studies, and comparative effectiveness research .
• The Application Process
• Who will you be working for?
• About ClinChoice

Benefits

Additional Information

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)

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