We're Hiring!

  Key Responsibilities:

1. Implement ML algorithms, employing      a wide array of ensemble methods
2. Recommend, design, and develop      actionable analytic solutions for key business problems through in-depth      investigations of healthcare utilization trends and outcomes
3. Use industry leading database      systems, clinical decision engines and algorithms to extract meaningful      insights from structured and unstructured data by leveraging NLP/ML
4. Design and develop an AI/ML      platform to train, manage data, evaluate, deploy models and to make and      monitor predictions
5. Effectively communicate complex      analysis to broader non-technical audience/stakeholders
6. Ensure the developed models or      statistical tests are reusable and modular for effective transition of      analytic solutions to production on the cloud

Requirements:

1. Bachelor’s or graduate degree in      Operations Research, Industrial Engineering, Statistics or another      quantitative field
2. Experience in working with both      structured and unstructured data to create reports, projections, models,      and presentations to support business decision making
3. Knowledge of AI/ML techniques,      especially deep understanding for their benefits and drawbacks
4. Experience with ML libraries and      frameworks (e.g., PyTorch, TensorFlow, Keras, scikit-learn, etc.) and      numerical computing libraries (e.g., NumPy, pandas, etc.)

  Key Responsibilities:

1. Create software infrastructure,      pipelines, and tools to ingest large volumes of data
2. Implement web-based interfaces      & decision-making tools to interact with data on a granular level
3. Deploy benchmarking tools for      algorithms, methods, and accessing data pipelines
4. Develop APIs for access to data      and results 
5. Integrate Python based algorithms      and methods into cloud-based infrastructure
6. Assemble and transform large,      complex data sets to produce scalable, replicable code and engineering      solutions that help automate repetitive data management tasks

Requirements:

1. Bachelor’s or graduate degree in      Computer Science, Industrial Engineering, Informatics, Information Systems      or another technical field
2. Experience designing and      implementing software tools and pipelines for data management
3. Demonstrated experience      interacting with APIs to push and pull required data for analysis

Experience with data pipeline and workflow management tools (e.g., Azkaban, Luigi, Airflow, etc.) 

    Key Responsibilities:

1. Design and build web apps and      production features used by patients and physicians
2. Develop RESTful web service      endpoints
3. Navigate logs and troubleshoot      production issues
4. Designing for load spikes with      queueing, caching, indexing, etc.
5. Partner with Data Scientist and      Data Engineer to operationalize models 
6. Ensure that ML code, models and      pipelines are deployed successfully into production, and troubleshooting      issues that arise 

Requirements:

1. Bachelor’s in Science in Computer      Science/ Software Engineering 
2. Experience with Node.js,      Express.js
3. Taking projects from requirements      phase through to production deployment and maintenance
4. Experience with RESTful web      services and an understanding of their implementation
5. Setup external APIs for a number      of different services
6. Experience developing and      deploying applications to a production environment