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Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members. Health at Scale operates some of the largest deployments of AI in healthcare to date, covering millions of lives in production settings. We have been recognized for our innovation and as one of the fastest growing private companies by Forbes, Fast Company, Inc 500, UCSF Digital Health, Becker's, TechCrunch, Bloomberg and MIT News. For more information, please visit our website.
As a senior software engineer at Health at Scale, you will work with an exceptional team of engineers, scientists and clinicians to build fast, scalable, secure, reliable and robust software platforms, systems and applications that are used in real-time to drive impact for millions of people. You will design, maintain, and deploy complex mission-critical systems in production settings. In addition, you will implement new features, improve architecture and APIs, increase efficiency and scalability, ensure reliability and robustness, monitor performance, and engage in iterative development. You will play a core role in creating and maintaining production software that drives impact for some of the largest deployments of machine intelligence in healthcare to date.
Responsibilities
- Design, develop, test, deploy, maintain and enhance software platforms and applications
- Improve scalability, performance and monitoring of production systems and pipelines
- Ensure security, reliability and robustness of public cloud and on-premise deployments
- Create architectures to support complex enterprise software projects
Requirements
- BS, MS or PhD in Computer Science or related technical field
- 2+ years of full-time industry software development employment
- Experience in Python (preferred), Java, or C/C++
- Expertise in data structures, algorithms, networking, storage and security principles
- Proven experience in cloud computing, application architecture, distributed systems, database design, and security software development
- Proficiency in writing unit tests and using automated testing tools
- Excellent communication skills
Health at Scale is an equal opportunity employer and is committed to diversity in its hiring and business practices. To all recruitment agencies: Health at Scale does not accept agency resumes. Please do not forward resumes to this job alias, company employees or any organization location. Health at Scale is not responsible for any fees related to unsolicited resumes.
What We Do
HEALTH[at]SCALE is a healthcare machine intelligence company that uses proprietary advances in artificial intelligence and machine learning to optimize care delivery for individuals by empowering at-risk payers, employers and providers. Founded by machine learning and clinical faculty from MIT, Harvard, Stanford and U-Michigan, the company’s mission is to bring precision delivery to healthcare through personalized and predictive algorithms that match individuals to the next best action in real-time and when needed most -- whether it’s the ideal choice of treatment, an early intervention, or the right provider. HEALTH[at]SCALE’s machine intelligence is deployed at scale in real operational settings, including with some of the largest payers in the country, across millions of lives driving better health outcomes, access and affordability for its customers. The company's software solutions service a broad range of use cases: provider navigation and network design, early targeted prediction and prevention of adverse outcomes, optimized treatment planning; and fraud, waste and abuse prevention. For more information, please visit healthatscale.com.
