Description

Maximus is seeking a Junior Biostatistician.

The Junior Biostatistician collects, engineers, processes, and analyzes data to support military activities, including personnel and family readiness, operational planning, and combat support. This role transforms raw data into actionable insights and predictive analytics through statistical analysis, data mining, and machine learning. The position requires strong data engineering capabilities, including the ability to build and maintain scalable ETL/ELT pipelines and curated datasets using SQL Server and Databricks with Apache Spark/PySpark. The Junior Biostatistician applies data quality checks, repeatable transformation logic, and basic performance optimization; develops visual analytics and decision-support products using tools such as Power BI or Streamlit; and helps integrate data and analytics into solutions using Microsoft Power Platform, Posit, or similar platforms. The role also requires familiarity with NLP and Large Language Models, including agent-style concepts and the data preparation needed to support text-based AI use cases. 

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.
• Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
• 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 as needed.
• Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
• Create and maintain all documentation including obtaining and collecting artifacts 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.
• Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support. 
• Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark/PySpark for scalable batch processing and data transformation. 
• Develop and maintain curated, analysis-ready datasets with attention to data quality, lineage, and repeatability. 
• Optimize data processing performance and contribute to reliable scheduling, orchestration, and monitoring of recurring workloads. 
• Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness. 
• Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting. 
• Support low-code solutions by integrating data products into Power Apps and automations using Power Automate. 
• Contribute to text and language-focused use cases by preparing and analyzing unstructured data. 
• Demonstrate familiarity with LLMs and agent concepts and assist senior team members in implementing these capabilities where appropriate. 
• Document data sources, transformations, assumptions, and analytical methodologies to support transparency and operational continuity. 

Minimum Requirements:

• Bachelor's degree in related field.- 5-7 years of relevant professional experience required.
•  Equivalent combination of education and experience considered in lieu of degree.
• Bachelor’s degree with one to two (1-2) years of experience in quantitative science, social science, or a related discipline. 
• Proficiency with Microsoft Office programs, including Word, Excel, and Access. 
• Working knowledge of SQL Server/SQL/T-SQL, including querying, joins, indexing basics, and relational schemas. 
• Hands-on experience or strong exposure to Databricks and Apache Spark, preferably PySpark, or comparable scalable data preparation systems. 
• Foundational programming skills in Python or R for analysis, data manipulation, and machine learning workflows. 
• Understanding of data engineering concepts, including ETL/ELT, data modeling basics, data quality checks, reproducible pipelines, and version control. 
• Experience building visual analytics with Power BI, including reports, datasets/semantic models, and DAX fundamentals. 
• Familiarity with Power Apps and Power Automate for workflow integration. 
• Basic familiarity with NLP and Large Language Models, including typical use cases and data requirements. 
• Ability to communicate clearly with stakeholders and translate mission needs into data requirements and analytical outputs. 

Preferred Skills and Qualifications:

• Experience with web application development technologies, including HTML, CSS, JavaScript, React, Django, or ASP.NET Core. 
• Experience with advanced Spark/Databricks patterns, including Delta tables, incremental loads, job/workflow scheduling, and performance tuning. 
• Familiarity with deploying analytics or machine learning into applications through APIs, dashboards, integrated workflows, or basic MLOps concepts. 
• Interviewing, Credentialing, and Privileging