Biostatician-Jacksonville,FL

Colorado Psychiatric; Jacksonville (FL); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) Retirement Savings Plan with 公司

Paid time off

Tuition reimbursement

Life Insurance

Disability coverage

Employee discounts

Job summary

Maximus is hiring a Biostatistician to lead the development and operationalization of advanced analytics, including predictive modeling, NLP, and LLM capabilities to support mission readiness and personnel well-being.

The role designs robust analytical and data engineering solutions, builds scalable ETL/ELT pipelines with SQL Server, Databricks, and Apache Spark, and delivers trusted data products with strong data quality practices.

Qualifications

• Bachelor's degree in a relevant field and 3+ years of experience required, or an equivalent mix of education and experience.
• Master’s or doctoral degree with five years of experience in quantitative science, social science, or a related discipline.
• At least three years of research experience in academic, social services, government, healthcare, or lab settings.
• Proficiency in Python or R for analytics, ML, and data manipulation with good software practices.
• Advanced SQL skills and hands-on experience with SQL Server in analytics contexts.
• Experience with Databricks and Spark (PySpark) to build scalable data pipelines.
• Understanding of ETL/ELT, data modeling, data quality, and performance optimization.
• Experience producing decision-quality visualizations, preferably with Power BI.

Responsibilities

• Lead development and deployment of advanced analytics methods to derive actionable insights for stakeholders.
• Serve as data and analytic usage point of contact, defining appropriate use of statistical methods.
• Analyze data to identify trends and provide insights on operations and projects.
• Develop metrics and KPIs, update BI/Dashboards, and create new scripts as needed.
• Develop ad hoc tools to support analytics.
• Explore emerging technologies and systems for company initiatives.
• Lead end-to-end analytics projects from framing to production delivery and iteration.
• Architect scalable data solutions using SQL Server, Databricks, and Spark (PySpark).
• Fuse diverse data sources and ensure defensibility and reproducibility of data products.
• Implement data quality controls and optimize Spark workloads.
• Develop and deploy predictive models; communicate their behavior and impact to teams.
• Support NLP and unstructured data use cases with LLMs; understand agent workflows.
• Deliver decision-support products via Power BI and enable workflows with Power Apps/Power Automate.
• Provide technical leadership and collaborate with intelligence, operations, and engineering teams.
• Collaborate with stakeholders to deploy insights through dashboards and semantic models.

Skills

Python

R

SQL

Databricks

Apache Spark

Power BI

NLP

LLMs

PySpark

Education

Bachelor's degree in a relevant field

Master’s or doctoral degree with five years of experience

Tools

SQL Server

Databricks

Power Apps

Power Automate

Job description

Maximus is currently hiring for a Biostatician position.

The Biostatistician leads the development and operationalization of advanced analytics, including predictive modeling, machine learning, and emerging LLM/NLP capabilities, to enhance mission readiness and the well-being of SOF personnel. This position designs and implements robust analytical and data engineering solutions by integrating structured and unstructured data sources; building scalable ETL/ELT pipelines and curated datasets using SQL Server, Databricks, and Apache Spark (PySpark); and applying strong data quality, performance tuning, and repeatability practices to ensure trusted, mission-ready data products. The role provides expert consultation to translate operational needs into defensible analytical approaches, execute data experiments, and deliver actionable intelligence that supports human performance optimization and strategic decision-making.

U.S. citizenship is required. Candidates must possess an active U.S. Government Secret security clearance or be eligible to obtain and maintain a Secret security clearance as required for contract performance. This position is pending upon contract award.

Why Maximus?

• Flexibility That Fits Your Life – Work/life balance support with flexibility designed to meet your personal and professional needs.
• Robust Health & Insurance Benefits – Choose from a variety of Medical, Dental, Vision, and
  Prescription plans, plus a partially funded HSA. You’ll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.
• Build Your Financial Future – Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.
• Generous Time Away From Work – Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.
• Wellness Beyond the Workplace – Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).
• Recognition That Matters – Celebrate achievements and recognize colleagues through our employee recognition platform.
• Invest in Your Growth – Continue your education and professional development with Tuition Reimbursement opportunities.
• Employee Discounts & Perks – Enjoy exclusive savings, special offers, and additional employee-only benefits.
• Wellness Programs & Resources – Explore a variety of programs and tools designed to support your overall health and wellness.
• Career Development Opportunities – Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.
• Licensure & Certification Support – Maximus covers the costs associated with renewing required licenses and certifications.

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, with disciplined software practices such as modular code, testing mindset, and version control.
• Advanced SQL skills and hands-on experience with SQL Server in applied analytics and data preparation contexts.
• Demonstrated experience using Databricks and Apache Spark (PySpark), or comparable tools, to build scalable data pipelines and large-scale transformations.
• Solid understanding of data engineering concepts, including ETL/ELT design, data modeling fundamentals, data quality and validation, repeatable pipeline design, and performance optimization.
• Experience producing decision-quality visualization and reporting, preferably with Power BI, including semantic modeling and DAX familiarity.
• Excellent communication skills; highly detail oriented and organized.
• Proficient with Microsoft Office programs, including Word, Excel, and Access.

Preferred Skills and Qualifications:

• Familiarity with NLP, LLMs, and agent concepts, including data preparation, governance, and evaluation approaches for these workflows.
• Experience integrating analytics into applications and automations using Power Apps, Power Automate, Streamlit, Posit, or comparable tools.
• Experience with web application development technologies such as HTML, CSS, JavaScript, React, Django, or ASP.NET Core.
• Exposure to operationalizing models and pipelines, including scheduling/orchestration, monitoring/alerting, CI/CD concepts, logging, and traceability.
• Advanced proficiency demonstrated through employment history in academia or another setting where research is routinely conducted.