Vice President, Data Engineering

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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AssistRx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

AssistRx is a company that specializes in providing technology-enabled solutions and expertise to enhance patient access to therapy and improve healthcare outcomes. They offer integrated solutions for therapy initiation, patient support, and analytics, focusing on connecting all stakeholders in the specialty pharmaceutical industry, including patients, healthcare providers, specialty pharmacies, and life sciences organizations. AssistRx's platforms aim to streamline enrollment, reduce therapy disruptions, and utilize real-time data to improve the patient experience. Their solutions are designed to be flexible, interoperable, and scalable, enabling better results in the delivery and management of specialty therapies.

📋 Description

• Lead the development and implementation of AI-driven solutions in the pharmaceutical industry to improve patient care through personalized omnichannel communications • Drive integration of Large Language Models (LLMs) into software development • Oversee creation of Retrieval-Augmented Generation (RAG) applications • Collaborate with product, sales, and marketing teams to architect and guide engineering, API, ML, DevOps, and reporting teams • Promote Agile methodologies and CI/CD processes for efficient, high-quality product delivery and continuous improvement • Oversee and optimize the technology stack, including Snowflake, Terraform, dbt, Docker, Azure SQL, Synapse, Azure, Python, SQL, Spark, and Azure container apps • Ensure data accuracy, scalability, and efficiency in data pipelines and AI models • Lead research and implementation of emerging AI and ML technologies • Develop and maintain strategic roadmaps for AI-driven data engineering initiatives aligned with business goals • Provide technical leadership and mentorship to engineering teams • Ensure compliance with industry regulations and best practices related to data security and privacy

🎯 Requirements

• Master’s degree or foreign academic equivalent in Computer Science, Information Technology, or a related field • 8 years of experience in the job offered or a related occupation, including Data Consultant, Data Director, or related experience • 6 years of experience with data engineering, ML, Snowflake, Terraform, Docker, Python, SQL, and Azure • Availability for 40 hours per week

🏖️ Benefits

• 40hrs/week