Job summary
Job post source
This job is directly from Galent
Job overview
The Senior Data Scientist role at Galent focuses on leveraging advanced AI, NLP, and agent architectures to innovate healthcare automation.
Responsibilities and impact
The candidate will apply expertise in LLMs, NLP, AI agent frameworks, and healthcare data protocols to develop and optimize AI-driven healthcare solutions.
Experience and skills
Requires 7+ years in applied AI, NLP, or agent frameworks, strong skills in Python, Transformers, PyTorch, LangChain, and familiarity with healthcare standards like FHIR and HL7; cloud-native and MLOps experience is essential; voice AI and patents are a plus.
Company overview
Galent is a company operating in the IT services and consulting industry, with a focus on providing technology solutions and expertise. Based in Atlanta, Georgia, the company appears to specialize in roles such as Cloud Project Management and Mainframe Development, indicating a strong emphasis on cloud computing and legacy system modernization. Galent generates revenue by offering specialized IT consulting services and project management solutions to businesses. While specific historical details are not available, its focus on high-demand IT roles suggests a commitment to addressing modern technological challenges for its clients.
How to land this job
Tailor your resume to spotlight your extensive experience with LLMs, NLP, AI agent architectures, and specifically highlight any work involving A2A Protocols and Model Context Protocols (MCP) to align with Galent's healthcare automation focus.
Emphasize proficiency in Python, Transformers, PyTorch, LangChain, HuggingFace, and hands-on experience with LangGraph, CrewAI, AutoGen, and Vector DBs, as well as your knowledge of multi-agent orchestration, RAG, RLHF, and contextual memory techniques.
Apply through multiple platforms including Galent’s official corporate careers page, LinkedIn, and other reputable job boards to maximize your application reach and visibility.
Connect on LinkedIn with data science and AI teams at Galent; start conversations by referencing recent healthcare AI advancements they’ve shared or asking about their experience implementing multi-agent systems in healthcare.
Optimize your resume for ATS by incorporating keywords such as 'LLMs,' 'NLP,' 'AI agent architectures,' 'A2A Protocols,' 'Model Context Protocols,' 'LangChain,' 'PyTorch,' 'FHIR,' and 'MLOps' to ensure it passes automated screening.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus more on networking and interview preparation.
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