Trial Library · 5 hours ago
AI/ML Engineer
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Responsibilities
Build, train, and deploy AI/ML models to enhance data abstraction, clinical trial matching processes, and other clinical trial-specific applications
Conceptualize and prototype new AI/ML-driven products and software features to enhance clinical trial pre-screening and navigation services
Design, test, and refine prompts to maximize the performance of LLMs for abstracting data from clinicaltrials.gov and other sources
Develop and maintain AI/ML pipelines for integration into production systems
Work with healthcare and clinical trial datasets, ensuring compliance with privacy and regulatory standards (e.g. HIPAA)
Operate with high levels of autonomy and take end-to-end ownership of AI/ML projects
Qualification
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Required
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
Previous startup experience or demonstrated success working in a fast-paced environment
3+ years of experience in AI/ML engineering, with a proven track record of deploying production-grade AI/ML models
Strong experience with LLMs (e.g. Claude, GPT, T5, BERT), prompt engineering, and fine-tuning transformer models
Strong knowledge of natural language processing techniques and tools
Experience with cloud platforms (e.g. AWS, GCP) for model deployment
Familiarity with database systems (e.g. PostgreSQL) and data integration pipelines
Respect for compliance and privacy requirements in healthcare (e.g. HIPAA)
Preferred
Experience with healthcare data or clinical trial datasets is a significant plus
Company
Trial Library
Trial Library is an oncology clinical trials company.
Funding
Current Stage
Early StageTotal Funding
$5MKey Investors
Lux Capital
2022-08-18Seed· $5M
Recent News
2024-04-09
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