Software Engineer (Analytics Focus

Sto Castic is transforming the delivery of healthcare through ground‑breaking products and services that harness large‑scale electronic health record (EHR) data and give care teams real‑time predictive insight for safer, smoother and more affordable care. Our products are rooted in data science and operations research developed at Johns Hopkins Medicine.

The multidisciplinary team at Sto Castic is made up of engineering scientists, clinicians, and business leaders united in mission and passion to revolutionize healthcare.

If you are interested in creating cutting‑edge technical solutions for a better healthcare system, we have an opening for a Software Engineer (Analytics Focus).

• Performing data analytics and processing to clinical data; statistical computing, machine learning, data mining, optimization, simulation
• Creating, maintaining, and integrating large-scale databases
• Supporting and developing cloud‑computing infrastructure that inter‑operate with clinical information systems
• Working independently to learn and translate research algorithms to scalable software
• Applying systems analysis techniques to gather business requirements and translate to functional/technical specifications
• Communicate work products verbally and through internal and client presentations
• Document technical work and ensure quality throughout the software development lifecycle

A bachelor’s degree in a computer science, engineering, mathematics or related field required. Master’s degree or anticipated degree preferred.

• 1-3 years related experience preferred (additional experience can substitute for some education. Additional education can substitute for experience)
• Experience in developing software applications (i.e. Agile, Scrum, SDLC)
• Ability to translate technical nature of an approach to non‑technical audiences
• Strong interpersonal skills and ability to work as a member of a dynamic team

The successful candidate will have experience using the following software applications and/or programming languages:

Required: Python, SQL (SQL Server Preferred), C#, C/C++

Other

Preferred Experience:

Capable of creating and understanding discrete event simulation models

• Health insurance offered