Federal contractor delivering healthcare, research, and IT services to government and commercial clients
MPF Federal operates across healthcare delivery, clinical research, and federal IT services, with a Microsoft-centric tech stack (365, Power Platform, Power BI) supplemented by Python and Node.js. The hiring acceleration is heavily weighted toward healthcare (14 roles) and research (7 roles), while engineering and data roles remain sparse — a composition that reflects their business-services model over product engineering. Active projects span clinical research pipelines, multi-omic data integration, and internal systems (QMS, audit, document control), while pain points cluster around data integration, research data volume management, and operational inefficiencies (claim processing, shipping), suggesting their next wave of improvement lies in workflow automation and data consolidation.
MPF Federal is a privately held government contractor established in 2012, headquartered in Gaithersburg, MD. The company holds SBA HUB Zone, Woman-Owned, and Minority-Owned Small Disadvantaged Business certifications. They serve federal government and commercial clients across five core domains: clinical research and life sciences support, healthcare service delivery (including a 24/7 nurse advice line), information technology and data management, program management, and records management. The workforce spans 201–500 employees, distributed across healthcare professionals, research scientists, IT staff, and administrative teams—many embedded at client sites. Revenue model is primarily services-driven: staffing, technical assistance, facility operations, and systems development work.
Microsoft 365, Power Platform, Power BI, Copilot Studio, React, Node.js, Python, Excel, Word, and Outlook. Stack is Microsoft-dominant for enterprise productivity and analytics, with JavaScript and Python for custom development.
Active projects include a 24/7 nurse advice line, NGS pipeline development for infectious disease research, multi-omic data integration, Power BI analytics dashboards, document control systems, quality management system maintenance, and NLP taxonomy classification models.
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