Healthcare AI DevOps Engineer (NLP / LLM)
Company: Citeline
Location: Remote, United States
Date Posted: Sep 24, 2024
Employment Type: Full Time
Job ID: R-547
Description
Citeline is one of the world's leading providers of data and intelligence on clinical trials, drug treatments, medical devices and what's new in the regulatory and commercial landscape. Relying on us to deliver vital advantage when making critical R&D and commercial decisions, our customers come from over 3000 of the world’s leading pharmaceutical, contract research organizations (CROs), medical technology, biotechnology and healthcare service providers, including the top 10 global pharma and CROs.
Now, Citeline is proud to be a part of Norstella, an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, Citeline plays a key role in helping clients connect the dots from pipeline to patient.
The Role:
We are actively seeking a specialized Healthcare AI DevOps Engineer (NLP / LLM) well-versed in AWS and experienced with cutting-edge open-source Large Language Models (LLMs) like Llama and Qwen, and familiar with using frameworks like Hugging Face for model implementation. In this crucial role at Norstella you will be responsible for deploying scalable and efficient NLP technologies, ensuring high-performance integration and management of LLMs on cloud infrastructures. Your role will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma and accelerate treatment access to patients with unmet need.
Responsibilities:
• Must have experience working in the Life Sciences or Healthcare industry.
• Design and oversee AWS cloud architectures optimized for advanced LLM usage, ensuring scalability and robustness of NLP applications.
• Implement and maintain LLM-focused NLP projects from ideation through production deployment, emphasizing innovation in LLM capabilities like Llama3 and Qwen, and leveraging frameworks like Hugging Face.
• Collaborate with data scientists, NLP engineers, cloud specialists, and software developers, ensuring effective implementation and integration of LLMs and Hugging Face tools.
• Develop strategies for cloud-based NLP solutions that ensure cost-efficiency, security, and compliance while supporting rapid model experimentation and deployment using AWS and Hugging Face.
• Maintain rigorous performance standards for LLM-based models, constantly seeking enhancements in model accuracy and operational efficiency.
• Work closely with IT security to ensure stringent data protection standards are met in the deployment and operation of LLMs and related software on AWS.
• Analyze computational resource utilization on AWS, optimizing for cost and performance throughout the lifecycle of LLM development and application.
• Stay updated on the forefront of LLM technologies and tools like Hugging Face, alongside AWS advancements, bringing in industry-leading practices to maintain a competitive edge.
• Regularly deliver impactful insights and updates to the relevant stakeholders, highlighting the strategic value and progress of NLP initiatives.
• Explore emerging trends in NLP and LLM advancements, aiming to leverage new potential applications and improve existing systems.
Requirements:
• Experience working in the Life Sciences or Healthcare industry. (REQUIRED)
• Bachelor’s or Master’s in computer science, Data Science, or related fields, with a strong focus on NLP/LLM and cloud solutions.
• Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). (REQUIRED)
• Minimum of 2 years in NLP systems development and operations, including extensive experience with AWS and expert knowledge of LLMs such as Llama3 and Qwen and familiarity with implementation frameworks like Hugging Face.
• Relevant AWS Certifications (e.g., Solutions Architect, Machine Learning Specialty, DevOps Engineer).
• Expert proficiency in Python and familiar with advanced NLP frameworks and libraries.
• Proven track record in the successful deployment of large-scale NLP solutions in the healthcare or life sciences industry, particularly those involving advanced LLM technologies.
• Strong analytical and communication skills, adept at working on multiple projects in a dynamic environment.
Preferred Requirements:
• Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
• Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Benefits:
• Medical and Prescription Drug Benefits
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long-Term Disab
Location: Raleigh, NC
Posted: Oct. 10, 2024, 7:32 p.m.
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