Platform Engineer Intern
About our Company:
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at www.medidata.com.
The Program:
At Medidata, interns will have the opportunity to accelerate their careers by working closely with experienced professionals and gain valuable, hands-on, full-time work experience. By being a part of our global organization, interns have the opportunity to work alongside our talented and committed professionals helping them to build a strong foundation for achieving their career goals. For 12 weeks, beginning May 18, 2026, interns will have an opportunity to gain a deep understanding of what it means to be a Medidatian. United around a single goal of empowering smarter treatments and healthier people. Medidatians work in a culture of curiosity, innovation and fun. You will be contributing to the line of business with sustainable and meaningful work.
Our Summer Internship program also includes instructor led training, guided mentorship, exposure to senior leadership and community service. In addition to individual and specific related responsibilities, each intern will participate in our Intern Innovation Lab. Assigned to cross-functional teams, interns will work closely to develop an innovative solution to a business problem currently facing Medidata. As they work diligently to present their final solutions to a panel of top Medidata leaders, we are confident that our interns will make a significant impact on our business.
Role Overview:
As a Full-Stack Software Engineering Intern, you will join Medidata’s Cloud Engineering team to build the next generation of intelligent internal tools and dashboards. We are moving beyond traditional infrastructure management by exploring how AI and LLMs can automate cloud operations, provide predictive scaling, and simplify developer workflows.
You will be a "product builder" on a cross-functional team, responsible for designing sleek React frontends and building robust Python (FastAPI/Django) APIs. You won't just be building interfaces; you will be exploring how to integrate AI-driven insights into our Public (AWS) and Private Cloud environments to support over 36,000 clinical trials globally.
Qualifications:
Currently enrolled in a bachelor’s or master’s degree program in Computer Science, Software Engineering, or a related field.
Must be available for a 12-week internship during Summer 2026.
Expected graduation date of November 2026 or later.
1+ years of experience developing software with Python and JavaScript/TypeScript.
A strong curiosity about how Generative AI and Machine Learning can be applied to infrastructure and DevOps.
Preferred Qualifications:
Experience building responsive applications with React.js.
Interest in designing interfaces for AI-powered features, such as natural language search for cloud resources or automated troubleshooting assistants.
Understanding of modern JavaScript hooks and asynchronous data fetching.
Hands-on experience building RESTful APIs using FastAPI or Django.
Experience (academic or project-based) with LangChain, OpenAI SDKs, or Bedrock to build AI-augmented backend services.
Experience with SQL (PostgreSQL) and an interest in Vector Databases (like Pinecone or pgvector) for AI context storage.
Exposure to AWS services (EC2, S3, Lambda) and Python's boto3 library.
Experience with Docker and an interest in how AI can optimize Kubernetes (K8s) orchestration.
Familiarity with Git, CI/CD, and the desire to automate "everything" using Python.
The salary range posted below refers only to positions that will be physically based in New York, NY. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York, NY, may differ based on the local market data in that region. The base hourly pay range for this position is $32.00 - 37.00 an hour.
Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details.
Equal Employment Opportunity:
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Applications will be accepted on an ongoing basis until the position is filled.
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Déclaration de diversité
La rémunération pour ce poste sera proportionnelle à l'expérience. La fourchette de rémunération totale prévue se situera entre 32$ et 37$ comprenant le salaire de base (ou le salaire annualisé basé sur une rémunération horaire estimée) et le bonus cible.
Générer des preuves et des informations pour aider les sociétés pharmaceutiques, biotechnologiques, de dispositifs médicaux et de diagnostics, ainsi que les chercheurs universitaires, à générer de la valeur plus rapidement, à réduire les risques et à optimiser les résultats.
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