Job Url: https://www.remoterocketship.com/company/triallibrary/jobs/ai-engineer-united-states-remote

Job Description: 
Trial Library
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Trial Library is an evidence-based platform focused on improving patient recruitment and enhancing diversity in oncology clinical trials. The company engages with a network of community partners to recruit qualified patients, ensuring equitable representation in cancer research. 

Their unique sponsored research model facilitates new connections between community providers, trial sponsors, and trial sites, and offers patients 24/7 technology-enabled navigation services to overcome enrollment challenges. Trial Library aims to achieve inclusion in clinical trials, promoting equity in cancer treatment outcomes by addressing social determinants of health. 

Through their Ally Navigators, they provide high-quality, culturally competent services, integrating automation with a human touch to support patients and healthcare providers in the clinical trial process. 

Clinical Trials • Patient Recruitment • Oncology


2 - 10 employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🌍 Social Impact

💰 $5M Seed Round on 2022-08

AI Engineer
3 days ago

🏄 California – Remote


⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

PyTorch

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📋 Description
• Creatively apply LLMs to develop solutions that streamline workflows and improve efficiency in clinical trial recruitment.
• Collaborate with product and engineering teams to integrate AI models into existing and new applications.
• Apply principles of classic machine learning and experiment design to work with datasets, measure model accuracy, and iterate on solutions.
• Implement and maintain robust testing strategies for AI models, including unit, integration, and performance tests.
• Participate in code reviews to ensure code quality and adherence to best practices.
• Troubleshoot and debug AI-related issues, identifying and resolving performance bottlenecks.
• Stay up-to-date with emerging AI technologies, particularly in the LLM and agent space, and best practices.
• Educate and assist coworkers in leveraging AI in their daily tasks where appropriate.
• Work with healthcare and clinical trial datasets, exercising a practical understanding of industry best practices (e.g., HIPAA).

🎯 Requirements
• Bachelor's degree or similar in Computer Science, Software Engineering, AI, Machine Learning, or a related field.
• 2+ years of experience in AI/ML engineering, with a strong focus on LLMs.
• Experience in developing and deploying applications leveraging LLMs.
• Basic understanding of classic machine learning algorithms and experiment design.
• Experience with AI/ML frameworks and libraries (e.g., PyTorch, Hugging Face).
• Familiarity with full-stack development concepts and technologies.
• Experience with healthcare tech or clinical trials is a significant plus.
• Respect for compliance and privacy requirements in healthcare (e.g. HIPAA).
• A love of teaching and helping others succeed.