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Software Engineering Summer Analyst/Associate - Remote

Posted 17 weeks ago
Software Development
Internship
United States

Overview

Tempus is seeking a highly qualified undergraduate/post-grad Software Engineering Summer Analyst/Associate to work with us for the summer of 2025, focusing on precision medicine and advancing the healthcare industry.

In Short

  • Apply classroom skills to real-world experiences
  • Work on value-added projects in science and technology
  • Collaborate in a fast-paced environment
  • Gain professional development and build relationships
  • Projects include Clinical Science Curation Platform and Security vulnerabilities reduction
  • Internship duration is 8 to 10 weeks
  • Hybrid work model: onsite 3 days/week
  • Competitive hourly wage and relocation bonus provided
  • Start date in early June, ending in August
  • Opportunity to impact healthcare through technology

Requirements

  • Pursuing a Bachelor's or Master's degree in Computer Science/Engineering
  • GPA greater than 3.5
  • Proficiency in Javascript, Python, SQL
  • Optional knowledge of GCP
  • Excellent written and verbal communication skills
  • Strong computer skills, especially with Google Suite
  • Ability to work independently and collaboratively
  • Self-starter attitude
  • Willingness to adapt in a fast-paced environment
  • Must be available for the full duration of the internship

Benefits

  • Competitive hourly wage
  • Relocation bonus
  • Professional development opportunities
  • Networking with peers
  • Hands-on experience in a leading healthcare technology company
Tempus logo

Tempus

Tempus is a pioneering technology company focused on precision medicine and transforming the healthcare industry through advanced AI solutions. Their proprietary platform integrates real-world evidence to provide physicians with real-time, actionable insights, ensuring that patients receive the most effective treatments tailored to their unique needs. Tempus is dedicated to advancing cancer precision medicine by leveraging multimodal datasets and cutting-edge machine learning techniques, fostering collaboration across various teams to drive innovation in drug development and clinical testing.

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