AI Data Engineer

🕒 Abril 28

🗻 New Hampshire, New Jersey, +3 estados a mais – Remoto

🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote

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C the Signs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

🧬 Biotecnologia

Healthcare Insurance • Artificial Intelligence • Biotechnology

C the Signs é um sistema inovador de previsão de câncer projetado para identificar pacientes em risco de câncer nos estágios mais iniciais e curáveis. Utilizando tecnologia avançada, pesquisa e evidências, C the Signs pode determinar rapidamente quais cânceres um paciente pode estar em risco e recomendar testes ou especialistas apropriados em menos de 30 segundos. O sistema apoia os provedores de saúde na melhoria das taxas de sobrevivência ao câncer, oferecendo detecção precoce e cuidados integrais, desde prevenção e triagem até diagnóstico e sobrevivência. Comprometido com a diversidade e inclusão, aborda desigualdades nos resultados raciais, beneficia pacientes em comunidades rurais e ajuda a reduzir o ônus financeiro do diagnóstico de câncer. C the Signs é dedicado a melhorar as taxas de sobrevivência e ajudar as pessoas a viverem vidas mais longas e saudáveis, aprimorando a detecção precoce do câncer e os cuidados.

Descrição

• Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets. • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets. • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity. • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models. • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA). • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability. • Document data engineering processes, data models, and data dictionaries. • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

🎯 Requisitos

• Required • - Bachelor's degree in Computer Science, Engineering, or a related field. • - Proven experience as a Data Engineer, with a focus on big data technologies. • - Strong proficiency in programming languages such as Python, Scala, or Java. • - Extensive experience with data warehousing, ETL processes, and data modeling. • - Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. • - Hands-on experience with big data frameworks like Apache Spark for distributed processing. • - Excellent problem-solving skills and the ability to work independently and as part of a team. • - Strong communication and interpersonal skills. • Preferred • - Master's degree in a related field. • - Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7). • - Familiarity with machine learning concepts and LLM fine-tuning processes. • - Experience with data orchestration tools (e.g., Apache Airflow). • Work Authorization: • - Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

🏖️ Benefícios

• **Why Join Us?** • Joining **C the Signs** is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. • **Benefits:** • - Competitive salary and benefits package. • - Flexible working arrangements (remote or hybrid options available). • - The opportunity to work on life-changing AI technology that directly impacts patient outcomes. • - Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. • - Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.