Sr Biostatistician-Sr Data Scientist/Analyst

About This Role

Lead the development of analysis specifications, programs, and conduct analyses using Real-World Data (RWD) for a biopharmaceutical solutions organization. Provide technical guidance and ensure quality standards across projects focused on patient cohorts and variable validation.

Responsibilities

• Lead development of analysis specifications for Real World Data (RWD) research
• Develop programs and conduct analyses for RWD research
• Provide technical guidance for RWD research projects
• Ensure quality standards and methodological rigor across projects
• Develop patient cohorts and validate key variables
• Lead RWD analysis strategy and execution
• Develop technical specifications and study methodology
• Oversee quality control processes
• Collaborate with cross-functional teams
• Manage project timelines and deliverables
• Develop best practices and standards
• Communicate complex analyses to non-technical stakeholders

Requirements

• Located in the United States or UK with no sponsorship needs
• Leadership of RWD analysis strategy and execution
• Statistical programming proficiency (R, SAS, SQL, Python)
• Proficiency in SAS or R & SQL with independent programming capabilities
• Ability to create packages, take requirements, write specifications, and work with complex data structures and study design
• Experience in complex programming (e.g., propensity score analysis, lines of therapy, Sankey diagram, machine learning)
• Experience applying machine learning methods (such as LASSO, DT, RF, and XGBoost) with RWD
• Understanding of epidemiology / outcomes research, study design and execution, Biomarker/genomic data sources
• Experience with healthcare claims databases (e.g., Optum, MarketScan, Pharmetrics+, HealthVerity, CPRD)
• Experience with Electronic Health Records (e.g., IQVIA, Flatiron, Concert AI, TriNetX)
• Experience with OMOP CDM or similar common data model framework
• Knowledge of US/international data sources
• Experience with psychometric validation (for clinical trial analysis)
• Project implementation capability (reviewing, contributing, executing) in statistical analysis plan development, protocol/manuscript development, study design and execution
• Ability to track and update work in software (Jira or ADO)
• 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

Qualifications

• Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field
• 5-8 years of relevant post-graduation experience (if Master's) or 3+ years post-graduation experience (if PhD) with advanced expertise in statistical programming and observational research methods.

Nice to Have

• Experience in oncology observational studies, Flatiron and ConcertAI (Oncology Specific)
• Understanding of programming logic in lines of therapy (Oncology Specific)
• Cloud-based SQL (Molecular Epi Specific)
• Experience with Clinico-genomic multi-modal data (e.g. Tempus AI) or population biobank data (UK biobank) (Molecular Epi Specific)
• Experience with OHDSI or DARWIN tool sets in R
• Tableau or Power BI or other graphics tool
• Additional experience with R (HEOR Specific)
• Experience with health economics and outcomes research (HEOR) methodologies, including cost analysis, burden of illness studies, and comparative effectiveness research (HEOR Specific)

Skills

* Required skills

Benefits