Senior Programmer, Artificial Intelligence Support

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Artemis ARC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📣 Marketing

🏥 Healthcare

Marketing • Healthcare • Staffing

Artemis ARC is a mission-driven organization that specializes in health care solutions, communications, marketing, and business transformation. They blend traditional consulting techniques with advanced technology and data science to improve health care systems and outcomes. With a focus on staffing and recruitment in the health sector, Artemis ARC aims to enhance quality of care and access to resources for a better patient experience.

📋 Description

• Design, develop, modify, test, and implement web-based applications, client-server applications, and OS-level automation scripts supporting VA clinical program workflows related to testosterone screening and treatment expansion. • Integrate and implement Commercial Off-the-Shelf (COTS) software solutions into existing VA IT architecture, ensuring compatibility, security compliance, and alignment with VA enterprise standards. • Develop and maintain SQL queries, stored procedures, and data models within Relational Database Management Systems (RDBMS) to support application functionality, reporting, and clinical data analysis. • Collaborate with clinical users, program stakeholders, and project managers to define system requirements, write program specifications, and translate business needs into technical solutions using an established Systems Development Methodology (SDM). • Document test conditions, create test data sets, execute test plans, and analyze results to validate application performance. • Coordinate system testing activities and assist clinical end users with User Acceptance Testing (UAT). • Research and evaluate emerging technologies and AI-driven approaches relevant to clinical decision support and healthcare data processing. • Develop and maintain work plans, project documentation, and data and process models throughout the software development lifecycle.

🎯 Requirements

• 8+ years of professional experience in software development, including hands-on experience with web-based applications, client-server architecture, and process automation scripting. • Bachelor's degree (BA/BS) in Computer Science, Information Technology, Software Engineering, or a closely related technical field required. • Prior experience supporting federal agency IT programs, preferably within the Department of Veterans Affairs (VA) or another federal healthcare environment, is strongly desired. • Must be able to obtain and maintain a VA network access credential (PIV/CAC) and successfully complete a VA background investigation (MBI or equivalent) prior to onboarding. • Must be authorized to work in the United States; this position does not offer visa sponsorship. • Demonstrated proficiency in SQL and RDBMS application development, COTS software integration, and use of a formal Systems Development Methodology (SDM) for planning, coding, and deploying enterprise applications. • Experience with VA electronic health record systems, including VistA, CPRS, and/or Cerner/Oracle Health, is strongly preferred. • Familiarity with VA IT security frameworks, including experience navigating the VA's Authority to Operate (ATO) process or completing VA Privacy and Information Security training. • Exposure to AI/ML concepts or tools applied in a clinical or healthcare data context, such as predictive modeling, clinical decision support, or natural language processing of EHR data. • Knowledge of HL7, FHIR, or other healthcare interoperability standards relevant to integrating clinical data systems. • Experience developing data and process models in support of federal health program reporting, analytics, or quality improvement initiatives.