AI & Data Science Research Software Engineer

Johns Hopkins University; Baltimore (MD); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Johns Hopkins University’s Data Science and AI Institute seeks Research Software Engineers to design and build software for AI and data science across scientific domains. You will work with affiliated faculty on projects ranging from consulting to large multi-year initiatives, developing scalable, open software for accelerated discovery.

Responsibilities include collaborating with scientists, building AI/ML solutions, processing massive data sets, and contributing to publications.

Qualifications

• Master's in a quantitative discipline with strong scientific computing background.
• 3+ years in software development on large projects and 3+ years in AI/ML applications.
• Experience developing, training and applying AI/ML models in scientific contexts.
• Ability to model data, ETL pipelines, and work with scalable data sets.

Responsibilities

• Collaborate in a team with RSEs and scientists to deliver AI/software solutions.
• Create AI/ML solutions using modern libraries and state-of-the-art hardware.
• Analyze massive data sets in cloud or on-premise environments.
• Develop data models and data processing workflows for real-time data.
• Refactor software to industry standards and contribute to publications.

Skills

Python

C++

Leadership

Communication

Linux

Education

Masters in Computer Science / Engineering / Bioinformatics

PhD preferred

Tools

Docker

RESTful APIs

SQL

AWS / Cloud platforms

Job description

Johns Hopkins University’s Data Science and AI Institute seeks Research Software Engineers to design and build software for AI and data science across scientific domains. You will work with affiliated faculty on projects ranging from consulting to large multi-year initiatives, developing scalable, open software for accelerated discovery.

Responsibilities include collaborating with scientists, building AI/ML solutions, processing massive data sets, and contributing to publications.