Full-Stack Developer Internship– Enterprise Laboratory & Operations Automation

About Us

We are a boutique biologics CDMO located in Newton MA . We are seeking a motivated Full-Stack Developerto design and implement robust, scalable systems that integrate operational and laboratory workflows into a unified, secure platform — with the long-term goal of enabling advanced analytics and machine learning.

The Opportunity

You will design, build, and deploy mission-critical applications that improve operational efficiency and create a strong foundation for future data-driven insights. Your work will enable predictive models, trend analysis, and intelligent workflow recommendations by ensuring the systems are data-rich, well-structured, and ML-ready.

Key Responsibilities

System Development

• Develop enterprise applications that streamline interactions between procurement, laboratory, and quality teams.
• Ensure datasets are clean, structured, and labeled to support future analytics and ML workflows.

Backend & Data Layer

• Develop secure RESTful APIs for current operations and future data science integration.
• Design normalized relational database schemas optimized for high-quality historical data retention.
• Implement metadata and audit trails for compliance and reproducibility.

Frontend & User Experience

• Build responsive, intuitive web interfaces and dashboards for operational KPIs and data visualization.
• Implement role-based access controls and intuitive workflows.

Infrastructure & Deployment

• Deploy applications on secure Linux-based servers using containerization (Docker/Kubernetes).
• Implement CI/CD pipelines for streamlined updates.
• Prepare infrastructure to support scalable ML model integration.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• Proven full-stack development experience with:
• Frontend: HTML5, CSS3, JavaScript (ES6 ), and frameworks such as React, Angular, or Vue.js.
• Backend: Python (Flask/Django/FastAPI) or Node.js.
• Databases: PostgreSQL, MySQL, or MongoDB.
• Strong understanding of RESTful API architecture and secure authentication (OAuth2, JWT).
• Familiarity with working with JSON data for API communication and data handling.
• Experience with Git and CI/CD concepts.
• Experience in data modeling for transactional and analytical use cases.
• Experience deploying and maintaining production applications.
• Ability to translate business requirements into technical solutions.

Preferred Qualifications

• Familiarity with laboratory workflows, LIMS, or inventory systems.
• Experience preparing datasets for machine learning pipelines.
• Knowledge of data warehousing and analytics platforms.
• Exposure to ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Understanding of GxP compliance in regulated environments.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong problem-solving, communication, and collaboration skills.

Why Join Us

• Be a key driver in the digital transformation of a science-focused organization.
• Build systems that will evolve from operational automation to AI-powered intelligence.
• Collaborate with leading scientists, engineers, and data experts.
• Competitive salary, comprehensive benefits, and professional growth opportunities.

How to Apply:

Submit your resume, portfolio or GitHub profile, and a brief cover letter highlighting relevant projects and achievements.