DTCC Data Science Intern

This internship is funded through a grant program with specific eligibility requirements. In accordance with the grant terms, applicants must be currently enrolled students at Southern New Hampshire University. We encourage all eligible students to apply.

Overview

The Advanced Regenerative Manufacturing Institute (ARMl) I BioFabUSA is a member-based non-profit organization founded to build the biofabrication industry and transform the future of healthcare. ARMI provides wrap-around commercialization services to companies seeking to bring life-saving regenerative technologies to patients, as well as to innovators seeking to commercialize enabling technologies that will grow the industry's impact.

The Impact That You Will Make

The Deep Tissue Characterization Center (DTCC) is seeking an intern to work within the Data Science Team. This internship offers the opportunity to contribute to several foundational initiatives that improve how our organization understands, requests, and works with data. Interns will engage with both technical development and strategic documentation projects that serve cross-functional needs.

Key responsibilities include helping expand internal data resources, building documentation that supports consistent analysis practices, and assisting in tool verification and process improvement. The intern will have opportunities to work with data workflows, contribute to internal analytics tools, and help develop resources that support data literacy across the organization. Depending on the workload, there may be opportunities to contribute to early-stage machine learning projects, such as developing models to classify data patterns or assisting with predictive analytics in the biomanufacturing space for internal research applications.

Your Role

• Assist in verifying and testing internal analytics tools and dashboards
• Contribute to internal documentation and reference materials
• Support the development of standardized analysis workflows
• Assist with dataset preparation, exploratory analysis, and reporting
• Participate in agile team practices including Jira task management, GitLab version control, and sprint planning
• Join team meetings, trainings, and collaborative activities
• Depending on workload and availability, contribute to coding tasks for internal analysis projects that may incorporate statistical modeling or machine learning techniques.

Your Skills and Experiences

• Effective interpersonal, written, and verbal communication skills
• Strong commitment, initiative, and perseverance
• Experience in coding languages such as Python, PHP, SQL, or R
• Field of study in computer science, data science, statistics, or a related discipline
• Familiarity in data analytics, including data cleaning, visualization, and interpretation
• Exposure to machine learning concepts or frameworks
• Strong organizational skills and ability to multi-task
• Experience working in a fast-paced, dynamic, collaborative team environment is a plus, but not required
• Ability to work independently and manage competing priorities
• Team-oriented mindset with collaborative cross-functional approach
• Commitment to quality, scientific integrity, and company mission
• Strong analytical and proactive problem-solving skills with a strong attention to detail