Data Science Intern (Medtech)

TL;DR

Data Science Intern (Medtech): Developing data-driven solutions for product, clinical, and marketing domains with an accent on predictive modeling and experimentation. Focus on analyzing complex datasets, building classification and regression models, and optimizing healthcare outcomes.

Location: Remote (Must be located within the United States)

Salary: $20–$25/hour

Company

An online medical clinic focused on transforming healthcare and enhancing longevity through scientific advancements.

What you will do

• Analyze large, complex datasets to uncover trends for product and clinical improvement
• Build and evaluate predictive models, including classification, regression, and forecasting
• Design and analyze A/B tests to measure the impact of product and growth initiatives
• Collaborate with data engineers to ensure reliable data pipelines and scalable model deployment
• Develop dashboards and visualizations to communicate key metrics to stakeholders
• Present results and recommendations to both technical and non-technical audiences

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
• Strong foundation in statistics, probability, and machine learning fundamentals
• Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
• Must be located within the United States
• Not eligible for current or future visa sponsorship (including CPT, OPT, or H-1B)
• Ability to work full-time (40 hours per week) during the internship

Nice to have

• Experience with experimentation, A/B testing, or causal inference
• Familiarity with machine learning frameworks such as PyTorch or TensorFlow
• Experience with data visualization tools like Plotly, Power BI, or Looker
• Interest in healthcare, longevity, or personalized medicine

Culture & Benefits

• Remote-first work environment
• Mentorship from experienced data scientists and exposure to industry best practices
• Ownership of projects with real business and clinical impact
• Experience working in a fast-paced, remote, cross-functional environment