Job Description
This role provides hands-on experience with modern web technologies, data pipelines, and cloud-based environments, contributing to systems that enable interactive data analysis and visualization.
Qualifications:
- Bachelor’s Degree (or currently pursuing) in Computer Science, Data Science, Bioinformatics, Statistics, Engineering, or related field
- Experience or coursework in JavaScript/TypeScript and/or Python
- Exposure to full-stack development concepts (frontend and backend)
- Familiarity with Node.js and Angular or similar frameworks
- Understanding of RESTful APIs and web services
- Exposure to version control systems (Git)
- Familiarity with Agile/SCRUM development methodologies
- Basic understanding of testing frameworks and debugging practices
Relevant Skills:
- Strong problem-solving skills and attention to detail
- Ability to communicate clearly and effectively (written and verbal)
- Ability to work both independently and in a team environment
- Adaptability in a fast-paced environment with changing priorities
- Interest in data science, analytics, or machine learning concepts
- Familiarity with data visualization or dashboarding tools is a plus
Responsibilities:
- Assist in building and maintaining data-driven applications using JavaScript/TypeScript and/or Python
- Support development of web applications using Node.js and Angular
- Contribute to the design and implementation of RESTful APIs
- Participate in testing, debugging, and enhancing existing codebases
- Help implement new features and performance improvements
- Collaborate in Agile development cycles, including sprint planning, stand-ups, and code reviews
- Support development of data pipelines, dashboards, and visualization tools
- Gain hands-on experience working in NIH environments across multiple sites
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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