Role description
The Data Intelligence Engineering Intern will support the development and implementation of data-driven systems, AI-powered workflows, and intelligent automation solutions at our company. The role will involve working with data processing, enrichment, AI agents, and system integrations to support the development of our AI-powered products and internal infrastructure. This internship is hybrid, with time split between on-site collaboration and remote work.
Day-to-day responsibilities include cleaning and structuring data, performing exploratory data analysis, building and validating data models, and assisting in the integration of data sources across products such as Dr.Tracker India, Dr.Tracker Clinic, and Dr.Tracker EDC. The intern will collaborate with engineering, product, and clinical operations teams to translate business and research requirements into usable datasets, dashboards, and insights. This is an internship role based in the New York City Metropolitan Area with a hybrid work arrangement, combining on-site collaboration with some work-from-home flexibility.
Qualifications
- Candidates should possess strong Data Analytics and Data Analysis skills to extract insights and support decision-making.
- Candidates should possess solid Data Management skills, including organizing, cleaning, and maintaining datasets and data pipelines.
- Candidates should possess robust Analytical Skills to interpret trends, diagnose issues, and evaluate the impact of data-driven initiatives.
- Candidates should possess 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.