AI/ML Engineer

13 hours ago

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

Apply Now

Receive Emails with Similar Jobs

Trial Library

WebsiteLinkedInAll Job Openings

Clinical Trials • Patient Recruitment • Oncology

2 - 10 employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🌍 Social Impact

💰 $5M Seed Round on 2022-08

Description

• Our mission is to improve health equity by expanding access to cancer precision medicine. • Trial Library, Inc. is a venture-backed startup founded in 2022 on a mission to advance equity in oncology clinical trials. • We are a diverse team of experts who believe that health equity starts with patient and provider empowerment. • We believe that inequities in clinical trial access need to be addressed creatively and intentionally. • We believe that inclusive research environments can answer questions that improve health outcomes for all, not just the few who participate in clinical trials. • We believe in the power of technology to disseminate high quality health information about clinical trials sustainably. • We believe in the power of representation in online health communication. • We are seeking a talented and experienced AI/ML Engineer to join our team. • This role will be pivotal in advancing the application of AI and machine learning throughout Trial Library’s suite of solutions to accelerate clinical trial recruitment. • This role will play a critical role in enhancing our current use of large language models (LLMs) for abstracting data from clinical trials and medical records. • This role will also identify new AI/ML applications to streamline clinical trial matching, improve operational workflows, and optimize decision-making for all stakeholders.

Requirements

• 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 • Experience with healthcare data or clinical trial datasets is a significant plus • 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)