Machine learning is on the verge of transforming healthcare, and the MGH & BWH Center for Clinical Data Science (CCDS) is at the forefront of this revolution. We are a fast-paced start-up embedded in two of the nation’s leading research hospitals, backed by industry partners like Nvidia and GE Healthcare. We have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.
The focus of our ML engineering and software team is to build tools to deploy models in the clinical setting.
- Building visualization tools to put model results in front of the radiologists
- Creating orchestration tools to route data and results to key hospital systems, including insertion into physician reports
- Developing an online learning platform to capture feedback from users to improve our models
Required skills
- Fluent developing backend services & REST endpoints using one or more of the following:
- Java + Spring
- Python + Flask
- Python + Django
- Fluent in best practices for secure data transmission
- Fluent working with databases
- 1+ relational database (Postgres, MySql, etc.)
- 1+ NoSQL database (mongoDB, CouchDB, etc.)
- 1+ key-value store (Redis, memcached, etc)
- Fluent leveraging message queues for asynchronous communication (RabbitMQ, ActiveMQ, ZeroMQ, Kafka, etc.)
- Fluent developing high-availability applications (redundancy, fault-tolerance, etc)
- Highly comfortable using Docker
- Highly comfortable with Apache/Nginx/HAProxy
- Highly comfortable integrating monitoring solutions with backend services
- Highly comfortable deploying models in a machine learning environment
- Follows best practices in software development
- Have shipped product
Nice to have
- Comfortable with Javascript (React/Vue/Angular)
- Comfortable with WebRTC, WebSockets, or SocketIO
by via developer jobs - Stack Overflow
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