
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.
🕒 April 28
Machine Learning Engineer responsible for end-to-end development of AI models in healthcare. Collaborating on data processing, model training, and integration while ensuring compliance and security.
🕒 April 28
Data Engineer developing scalable data pipelines for LLMs and ML models in healthcare. Collaborating with teams to ensure data quality, compliance, and advanced data engineering practices.
🕒 April 1
Senior AI Developer designing cutting-edge AI applications for the healthcare industry, focusing on Agentic Workflows and advanced AI integration.
🕒 March 24
Design Lead shaping consumer-facing platform for health tech company. Leading design strategy and improving user experiences for sensitive health information sharing.
🕒 March 11
Lead Data Engineer architecting and building a healthcare data platform leveraging AI technology. Collaborating with multiple teams to ensure high-quality data ingestion and compliance in healthcare.
🕒 March 4
Senior MLOps Engineer designing and operating ML platforms for healthcare workflows. Working closely with ML, data, security, and product teams, improving model development and deployment.