Sr. Data Science Platform Engineer

Iodine Software
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Job Description

Company Overview

Iodine is an enterprise AI company that is championing a radical rethink of how to create value for healthcare professionals, leaders, and their organizations: automating complex clinical tasks, generating insights and empowering intelligent care. Powered by the largest set of clinical data and use cases available, our groundbreaking clinical machine-learning engine, Cognitive ML, constantly ingests the patient record to generate real-time, highly focused, predictive insights that clinicians and hospital administrators can leverage to dramatically augment the management of care delivery.

What You’ll Do 

Iodine thrives on innovation. We are looking for a Data Science Platform Engineer that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

  • Work with the rest of the data platform team to design, implement, and test our high-throughput, event-based data pipeline for real-time data processing
  • Design and build tools and frameworks to develop and enhance our predictive model suite and scalably support real-time predictions in production
  • Design and implement highly performing and highly scalable applications
  • Work as a core team member to develop a complete and integrated solution
  • Deliver quality software and documentation on time
  • Comply with development standards to ensure consistency across the larger development team
  • Conduct in-depth technical and performance analyses in support of production issue troubleshooting
  • Monitor and maintain production systems

What You'll Need

  • Minimum Requirements (Education, certifications and experience):
  • Bachelor’s degree in Computer Science or related area, Masters preferred
  • 7+ years of professional experience writing Java or Python code, with at least 3 years building data platforms
  • Expert proficiency with SQL
  • Seasoned practitioner of engineering best practices such as CI/CD and automated testing
  • Comfort working in a Linux environment
  • Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
  • Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
  • Experience with public cloud solutions, such as AWS or Azure
  • Proven track record of successful delivery of progressively complex technical projects
  • Coaching and mentoring junior engineers in the team
  • Team player DNA with a positive, self-starter attitude
  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow
  • Familiarity with statistics and healthcare domain
  • Proven expertise in successful large project/build management and execution
  • Demonstrated ability to manage multiple work streams simultaneously and efficiently

Why should you join Iodine?

This is a unique opportunity to join a close-knit, rapidly growing team and help us improve a key piece of the organization. You will have the opportunity to drive smarter healthcare processes through technology, so hospitals can stay focused on patient care. You will join a passionate and ambitious team, with a proven record of success building multiple companies.

Company Info.

Iodine Software

Iodine Software is a healthcare AI company that has pioneered a new machine learning approach — Cognitive Emulation™ — to help healthcare finance leaders build resilient organizations. Founded in 2010, Iodine’s technology unifies clinical concepts, evidence-based medicine, and deep machine learning to power revenue cycle solutions that maximize capture and data accuracy. To date, the Iodine AwareCDI™ Suite has helped nearly 500 hospitals recogniz

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