Full-Stack Web Dev Co-op: Bioinformatics & ML

Draper; Cambridge, Northern (MA, KY); Hybrid; USD 37,000 - 62,000; Full time

Benefits offered by this job

Work-life balance programs

Employee clubs

Workshops on health and finance

Off-site social events

Museum discounts

Job summary

Draper in Cambridge, MA seeks a student co-op to help build out bioinformatics capabilities within a broad data ecosystem. You will contribute to projects spanning bioinformatics, data science, software engineering, machine learning, and AI, designing, testing, and documenting engineering solutions for real-world applications.

The role emphasizes strong communication, independence, and collaboration, with flexible hours to fit your academic schedule, and exposure to national security-related

Qualifications

• Currently pursuing a BS or MS in Computer Science, Software Engineering, or related field.
• Strong programming experience with JavaScript, HTML and CSS.
• Excellent written and oral communication skills.
• Ability to work independently or in a team environment.

Responsibilities

• Design, develop, and enhance engineering solutions for challenging problems.
• Implement, test, perform analysis, and provide documentation support.
• Generate and present test reports including plots, tables, evaluation criteria, and conclusions from data collected and analyzed throughout the test process.
• Complete assignments designed to develop a practical knowledge of processes, procedures, equipment, facilities, and systems as well as their interrelationships within engineering disciplines.
• Performs other duties as assigned.

Skills

JavaScript

HTML

CSS

Bioinformatics basics

Team collaboration

Independent work

Education

Pursuing B.S. or M.S. in Computer Science or related field

Tools

React

Angular

RESTful APIs

Job description

Draper in Cambridge, MA seeks a student co-op to help build out bioinformatics capabilities within a broad data ecosystem. You will contribute to projects spanning bioinformatics, data science, software engineering, machine learning, and AI, designing, testing, and documenting engineering solutions for real-world applications.

The role emphasizes strong communication, independence, and collaboration, with flexible hours to fit your academic schedule, and exposure to national security-related