Job description
NovaQuant Analytics is seeking a Senior Applied Statistician to drive advanced statistical analyses in pharmaceutical, healthcare, and technology projects. You will collaborate with cross-functional teams, design experiments, build predictive models, and translate results into actionable recommendations for stakeholders. The ideal candidate combines deep statistical knowledge with practical, impact-driven delivery.
This role offers a collaborative, fast-paced environment where rigor and communication are valued. Hybrid work options available in the Boston area.
Responsibility
- Lead the design and execution of statistical analyses for complex business and research projects across multiple domains.
- Develop and validate predictive, causal, and Bayesian models to inform decision making.
- Collaborate with data engineers, data scientists, and product teams to define analysis plans and data requirements.
- Prepare clear, audience-friendly reports and data visualizations for executives and non-technical stakeholders.
- Ensure rigorous methodology, reproducibility, and thorough documentation of all analyses.
- Mentor junior analysts and contribute to the development of statistical standards and best practices.
- Translate study results into actionable business recommendations and measurable metrics.
Qualification
- Master's degree or PhD in Statistics, Biostatistics, Mathematics, or a related field.
- 5+ years of applied statistics experience in industry (pharma, life sciences, healthcare, or tech).
- Proficiency in R; strong Python and SQL skills; experience with SAS is a plus.
- Solid knowledge of experimental design, regression analysis, survival analysis, Bayesian methods, and basic machine learning.
- Experience with data visualization tools (Tableau, Power BI) and communicating technical results to non-technical audiences.
- Strong problem-solving, project management, and collaborative skills; ability to translate data into actionable insights.
- Familiarity with regulatory considerations (e.g., GCP) is a plus.