Software Engineering Intern - AI/ML/Apps

Verantos Summer Internship Program 2025

AI/ML and Application Development (Fully Remote)

About Verantos

Verantos is a leading Real-World Evidence (RWE) company dedicated to transforming

real-world data into reliable, actionable insights. We partner with claims data, death registries,

and EHR systems to build comprehensive patient datasets that define the U.S. population for

conditions such as Alzheimer’s, asthma, ulcerative colitis, and stroke. Recognized as an

industry leader in RWE and named on the Deloitte Fast 500 list, we work closely with the FDA

to drive higher-quality clinical study results and accelerate breakthroughs in personalized care.

Internship Overview: AI/ML and Application Development

At Verantos, interns gain real-world experience in AI-driven healthcare technology, working

on impactful projects that contribute to cutting-edge research, clinical studies, and advanced

data analytics. Our internship provides hands-on development experience with opportunities

to build machine learning models, develop real-time data applications, and collaborate with

engineering and research teams.

As a fully remote intern, you will work independently and collaboratively, gaining mentorship

from experienced engineers, AI specialists, and industry leaders.

What You’ll Do

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Develop AI/ML solutions: Work alongside bioinformaticists, epidemiologists, and

veteran AI/ML engineers to design, develop, and refine machine learning models that

enhance data analytics and clinical study outcomes.

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Build innovative applications: Own feature projects and applets that support our RWE

platform, ensuring seamless integration of claims, death registry, and EHR system

data into interactive, research-focused applications.

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Enhance data analytics: Explore large-scale patient datasets to uncover trends and

insights that drive personalized care and improve real-world study accuracy.

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Contribute to AI-driven research tools: Help prototype AI models that enable

automated data extraction, patient cohort identification, and predictive analytics.

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Collaborate across teams: Engage with research, development, and regulatory teams

to help shape the future of evidence-based healthcare. Participate in team stand-ups,

code reviews, and AI strategy discussions.

What You’ll Gain

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Mentorship & Training: Learn from industry experts and gain hands-on guidance from

engineers and AI researchers.●

Exposure to Cutting-Edge Technologies: Work with Python, FastAPI, Snowflake,

React, LLMs, and real-time data pipelines in an environment focused on AI-driven

clinical research.

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Professional Development: Receive structured feedback, 1:1 mentorship, and

participate in learning sessions on best practices in AI/ML and software

engineering.

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Real-World Impact: Your work will directly contribute to AI tools and applications that

assist researchers in data exploration, clinical study execution, and regulatory

compliance.

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Networking & Career Growth: Join a cohort of like-minded interns, connect with senior

engineers, and gain opportunities for full-time roles after the internship.

Who Should Apply?

This internship is designed for students and recent graduates with a strong background in

software development, AI/ML, or data science. Ideal candidates will have:

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Pursuing or recently completed a degree in Computer Science, Data Science,

AI/ML, Biomedical Engineering, or a related field.

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Proficiency in Python (FastAPI, Pandas, NumPy) or JavaScript (React, TypeScript).

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Understanding of machine learning fundamentals (PyTorch, TensorFlow, Scikit-learn)

and familiarity with AI concepts like NLP, transformers, and predictive modeling.

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Strong problem-solving skills and the ability to work independently in a remote

environment.

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Interest in healthcare technology and real-world data.

Internship Details

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Location: Fully Remote

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Duration: 10-12 weeks (Summer 2025)

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Hours: Full-time (40 hrs/week)

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Compensation: $5600 monthly stipend

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Perks:

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Laptop & equipment provided

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Access to AI/ML training sessions and professional development

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Networking events and direct mentorship with industry leaders

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Opportunity for a full-time offer upon completion