AI Data Engineer

🕒 April 28

🗻 New Hampshire, New Jersey, +3 more states – Remote

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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C the Signs

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

Healthcare Insurance • Artificial Intelligence • Biotechnology

C the Signs is an innovative cancer prediction system designed to identify patients at risk of cancer at the earliest and most curable stages. Utilizing advanced technology, research, and evidence, C the Signs can rapidly determine which cancers a patient may be at risk for and recommend appropriate tests or specialists in under 30 seconds. The system supports healthcare providers in improving cancer survival rates by offering early detection and integrative care, from prevention and screening to diagnosis and survivorship. Committed to diversity and inclusion, it addresses inequalities in racial outcomes, benefits patients in rural communities, and helps reduce the financial burden of cancer diagnosis. C the Signs is dedicated to improving survival rates and helping people live longer and healthier lives by enhancing early cancer detection and care.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• **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.