Research Software Engineer for Scientific Data & Workflows

Johns Hopkins University; Gaithersburg (MD); Sur place; USD 65 000 - 96 000; Plein temps

Résumé du poste

Johns Hopkins University in Gaithersburg, MD, seeks a Research Software Engineer as part of the PREP program with NIST collaboration. You will build and sustain software infrastructure, embed with a technical team, and contribute to data systems and scientific workflows.

Responsibilities include developing databases, packaging code, and enabling reproducible research across projects, while collaborating with researchers and other engineers.

Qualifications

• Master’s degree in software engineering, computer science, IT, STEM or equivalent.
• Proficiency in HTML, CSS, SASS, and JavaScript for user-facing layouts and behavior.
• Proficiency in server-side runtimes (Node.js, PHP) and MongoDB.
• Experience with Git, API integration and responsive design.
• Knowledge of data pipelines, reproducible workflows, and testing.
• Ability to document for scientific users and developers and perform code reviews.
• Capacity to collaborate with researchers and adopt modern workflows.

Responsabilités

• Design, expand, and deploy a scalable scientific database layout for active research.
• Develop, refactor, profile, test, and package prototype code for long‑term sustainability.
• Create user-facing features for data input, display, and data file management.
• Collaborate with researchers on software development workflows and documentation.

Connaissances

HTML/CSS/JS

Node.js

PHP

MongoDB

Git

API integration

Data pipelines

Software architecture

Code review

Documentation

Formation

Master’s degree in software engineering, computer science, IT, STEM or equivalent

Outils

MongoDB

Node.js

PHP

Git

Description du poste

Johns Hopkins University in Gaithersburg, MD, seeks a Research Software Engineer as part of the PREP program with NIST collaboration. You will build and sustain software infrastructure, embed with a technical team, and contribute to data systems and scientific workflows.

Responsibilities include developing databases, packaging code, and enabling reproducible research across projects, while collaborating with researchers and other engineers.