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

ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research. They are seeking a Senior Real-World Data Scientist/Analytics Consultant to lead analytical efforts across diverse therapeutic areas for a high-profile sponsor, ensuring quality standards and methodological rigor in Real World Data research.

Responsibilities:

• 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
• 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
• 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: 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)

Requirements:

• 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
• 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: 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)
• 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
• Oncology Specific: Experience in oncology observational studies, experience in Flatiron and ConcertAI, understanding of programming logic in lines of therapy
• Molecular Epi Specific: Cloud-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