4 of 4 Statistical Modelling Jobs in Worcester

Description The Lead Biostatistician/Statistical Programmer plays a key role in driving profitable growth by leading proposal development and project execution in alignment with the organization's strategic objectives. This role partners closely with Client Partners to support proactive business development, deliver high-quality services to clients … conducted in compliance with internal SOPs, ICH guidelines, industry standards, and regulatory requirements. Key responsibilities include reviewing and approving all biostatistics documentation and statistical programming outputs, overseeing project budgets and timelines, and ensuring overall quality and consistency across assigned accounts. In addition, the Lead Biostatistician contributes to talent acquisition ...

asynchronous Duration: Flexible Role Responsibilities: Translate business questions into data science problems and analytical workflows. Conduct data wrangling, exploratory analysis, and hypothesis testing. Develop statistical models and predictive tools for decision support. Create compelling data visualizations and dashboards for business users. Present findings and recommendations to non-technical stakeholders. … Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. Strong communication skills for translating technical work into strategic insights. Application Process (Takes 20 min): Submit your resume ...

week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research … driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication and data storytelling skills. Application Process (Takes 20 min) Upload resume ...

week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research … driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication and data storytelling skills. Application Process (Takes 20 min) Upload resume ...