Data Intelligence Engineering Intern
Pipeline Securities
Summary
The Data Intelligence Engineering Intern will support the development and implementation of data-driven systems, AI-powered workflows, and intelligent automation solutions. The role involves working with data processing, enrichment, AI agents, and system integrations to support AI-powered products and internal infrastructure. This internship is hybrid, with time split between on-site collaboration and remote work.
Job description
Role Description
The Data Intelligence Engineering Intern will support the development and implementation of data-driven systems, AI-powered workflows, and intelligent automation solutions. The role involves working with data processing, enrichment, AI agents, and system integrations to support AI-powered products and internal infrastructure. This internship is hybrid, with time split between on-site collaboration and remote work.
Day-to-Day Responsibilities
- Clean and structure data
- Perform exploratory data analysis
- Build and validate data models
- Assist in the integration of data sources across products such as Dr.Tracker India, Dr.Tracker Clinic, and Dr.Tracker EDC
- Collaborate with engineering, product, and clinical operations teams to translate business and research requirements into usable datasets, dashboards, and insights
Qualifications
- Strong Data Analytics and Data Analysis skills to extract insights and support decision-making
- Solid Data Management skills, including organizing, cleaning, and maintaining datasets and data pipelines
- Robust Analytical Skills to interpret trends, diagnose issues, and evaluate the impact of data-driven initiatives
- Foundational Data Modeling skills to design and implement structured data representations for reporting and product features
- Basic proficiency in SQL and at least one programming language commonly used in data work (such as Python or R)
- Familiarity with data visualization tools or libraries (for example, Tableau, Power BI, or matplotlib/Plotly) is beneficial
- Ability to communicate technical findings clearly to non-technical stakeholders and collaborate in cross-functional teams
- Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Engineering, Statistics, or a related field
- Interest in digital health, clinical research, or healthcare technology is a plus
Requirements
- Strong Data Analytics and Data Analysis skills
- Solid Data Management skills, including organizing, cleaning, and maintaining datasets and data pipelines
- Robust Analytical Skills to interpret trends, diagnose issues, and evaluate the impact of data-driven initiatives
- Foundational Data Modeling skills to design and implement structured data representations for reporting and product features
- Basic proficiency in SQL and at least one programming language commonly used in data work (such as Python or R)
- Familiarity with data visualization tools or libraries (Tableau, Power BI, matplotlib/Plotly) is beneficial
- Ability to communicate technical findings clearly to non-technical stakeholders and collaborate in cross-functional teams
- Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Engineering, Statistics, or a related field
- Interest in digital health, clinical research, or healthcare technology is a plus
Company overview
Pipeline Securities is a privately held digital health startup headquartered in New York, New York, focused on transforming real patient interactions into structured, research-ready clinical insights. The company is building Dr.Tracker, a mobile health application designed for chronic patients to track symptoms, uncover patterns, and simplify daily care. Recognizing that chronic conditions are complex and that existing tools often fail to capture the real-life struggles patients face, Pipeline Securities aims to bridge this gap by learning directly from patients about their daily challenges and needs. Currently in private beta, the company shares insights from patient conversations to shape better tools faster. Its mission is to empower patients with actionable information, reduce daily stress, and make managing chronic conditions easier one insight at a time. The platform spans digital health, chronic disease management, symptom tracking, remote patient monitoring, and telemedicine, positioning the company within the broader healthtech and patient-experience innovation space.