Biostatician

Essential Duties and Responsibilities:

- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.

- Serve as point of contact for data and analytical usage, particularly in the appropriate uses and limitations of statistical and analytical applications.

- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.

- Develop and implement new metrics, functions, and scripts as KPIs and in existing BI/Dashboards as needed.

- Ad hoc tool development to support operational and under served analytical areas.

- Learning emerging technologies and systems of need for company initiatives.

- Activities to support team communication and strategy implementation (meetings, etc.).

- Project management activities.

-Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery, measurement, and iterative improvement.

-Architect and implement scalable data solutions by building and maintaining ETL/ELT pipelines and curated datasets using SQL Server, Databricks, and Apache Spark (PySpark) or comparable tools.

-Fuse structured, semi-structured, and unstructured data sources; establish data preparation standards, reusable transformations, and documented assumptions to ensure defensibility and reproducibility.

-Implement data quality controls, manage schema changes, and optimize Spark workloads for performance, reliability, and cost.

-Develop, evaluate, and deploy predictive models and optimization approaches; communicate model behavior, limitations, and expected impact to technical teams and operational stakeholders.

-Support text-heavy and unstructured-data use cases with NLP methods and demonstrate familiarity with Large Language Models and agent-style workflows.

-Deliver decision-support products through Power BI, including semantic modeling and consistent metric definitions, and enable operational workflows using Power Apps and Power Automate.

-Provide technical leadership and consultation, including guidance on analytic methodology, code and results review, documentation standards, and collaboration with intelligence, operations, and engineering teams.

-Partner with stakeholders to deploy insights through mission-focused dashboards, semantic models, workflow-enabled applications, and other decision-support products.

Minimum Requirements

- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.

-Master's or doctoral degree with five (5) years of experience in quantitative science, social science, or a related discipline.

-At least three (3) years of research experience in an academic, social services, government, healthcare, or laboratory setting.

-Strong proficiency in Python or R for analytics, machine learning, and data manipulation, wi...