The posting, in DLH's own words
archived Oct 21, 2026About Us
DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview This role provides support to our client in cloud architecture, data interoperability, and security engineering support for the SCHARE platform and related data environments. This includes secure cloud configuration, metadata architecture, system integration across platforms, API enablement, and compliance with agency and federal government cybersecurity and information management regulations and requirements. The role also supports ATO-related activities in coordination with the agency CIO organization, including preparation of technical artifacts and remediation support, and implementation and maintenance of technical controls, vulnerability remediation, and securing data environments to ensure ongoing compliance.
Responsibilities
Lead data science strategy in support of custom data platform Collaborate with scientists and trainees Support a federal healthcare enterprise environment by collaborating with IT operational service areas (server/storage, network, application development) in the design, development, and testing of solutions Communicate findings, recommendations, and solutions to both technical and non-technical stakeholders Design tools for optimizing data collection, validation, and analysis
Read the full posting ↓
Qualifications
Bachelor’s degree in data science, bioinformatics, or a related field or an equivalent combination of education and experience and appropriate technical certifications, with at least twelve (12) years of experience in information technology and (4) years leading or performing or related functions. This position requires strong problem decomposition skills and experience manipulating big data Experience working in teams, and demonstrated communication skills both oral and written A deep interest in data science and artificial intelligence Advanced experience in predictive modeling and pattern recognition Strong background in data mining, statistics, and mathematical modeling Proficiency in programming languages such as Python, R, and MATLAB Thorough understanding of federal requirements pertaining to data security, especially PII, and PHI Must be able to obtain a Public Trust clearance Basic Compensation: $180,000 - $190,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.