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🚀 Internship

Software Engineer Intern - San Francisco

🚀 Summer Internship

San Francisco

AI generated summary

  • The candidate must be a rising senior of a 4-year university or college, or in their 4th or 5th year of a 5-Year BS/MS Program in Computer Science/Engineering, EE, or Data Science, with experience in machine learning through school courses and projects.
  • The candidate will develop an automated mapping capability using machine learning and existing data, integrate it with the code base, and document and share the solution's design.

Summer Internship

Software EngineeringSan Francisco


  • 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 20, 2024, 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.


  • Education:
  • Rising Senior of 4-year university/college, or
  • 4th or 5th year in 5-Year BS/MS Program
  • Fields of study:
  • Computer Science/Engineering
  • EE
  • Data Science
  • Experience:
  • Machine learning school course and project

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • In this position you will develop an automated Rave field to E2B element mapping capability utilizing machine learning in conjunction with vast amount of existing mapping data to generate highly reliable and desirable result.
  • Your Competencies:
  • Understanding the purpose and scope of the project (1 week)
  • Including the existing Rave field to E2B element mapping data
  • Identifying the potential tooling (1week)
  • Documentation and knowledge sharing on the design of the solution (1 week)
  • Implementation of the solution (5 weeks)
  • Integration of the solution with existing RSG code base (4 weeks)


Work type

Full time

Work mode



San Francisco