[Hiring] Senior Biostatistician-Senior Data Scientist/Analyst @Syneos Health

Role Description

Must be located in the United States or UK with no sponsorship needs to be considered for this position.

• 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.

Qualifications

• Master’s degree in 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.

Requirements

• Leadership of RWD analysis strategy and execution.
• Lead development of technical specifications and study methodology.
• Statistical programming 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 programming, 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.
• 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 areas:
  • 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).

Benefits

• Company car or car allowance.
• Health benefits to include Medical, Dental and Vision.
• Company match 401k.
• Eligibility to participate in Employee Stock Purchase Plan.
• Eligibility to earn commissions/bonus based on company and individual performance.
• Flexible paid time off (PTO) and sick time.