Truveta

About Truveta

Empowering healthcare through data-driven insights

🏢 Health👥 51-250📅 Founded 2020📍 Seattle, Washington, United States

Key Highlights

  • Over 50 million patient records aggregated
  • $100 million+ raised from top investors
  • Headquartered in Seattle, Washington
  • Collaborations with major U.S. health systems

Truveta is a healthcare data platform headquartered in Seattle, Washington, that collaborates with physicians, life science researchers, and healthcare organizations to provide real-time insights from patient data. The platform aggregates data from over 50 million patient records, enabling healthcar...

🎁 Benefits

Truveta offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment to support work-life balance....

🌟 Culture

Truveta fosters a culture of data-driven decision-making, emphasizing collaboration between healthcare professionals and technologists to enhance pati...

Overview

Truveta is seeking an ML PhD Intern to contribute to innovative projects in Large Language Modeling and clinical data analysis. You'll work with cutting-edge technologies in a mission-driven environment. This internship is designed for candidates nearing the completion of their PhD.

Job Description

Who you are

You are a highly motivated individual currently pursuing a PhD in Machine Learning or a related field, with a strong foundation in large language models and generative AI. You have a collaborative mindset and are eager to contribute to impactful research that can save lives through data. Your problem-solving skills are complemented by a passion for innovation and a desire to work in a team-oriented environment.

You have completed your coursework and are now focused on research, ideally within one year of your graduation date. Your academic background has equipped you with the necessary skills to tackle complex challenges in AI and healthcare. You are comfortable with data analysis and have a keen interest in applying machine learning techniques to real-world problems.

Desirable

Experience with clinical data analysis or healthcare applications would be a plus, as would familiarity with programming languages commonly used in machine learning, such as Python. You are open to learning new technologies and methodologies that can enhance your contributions to the team.

What you'll do

As an ML PhD Intern at Truveta, you will join our AI research team and engage in projects that focus on large language modeling and generative AI. You will collaborate with experienced researchers and engineers to develop innovative solutions that leverage clinical data for better healthcare outcomes. Your work will involve designing experiments, analyzing results, and contributing to the development of algorithms that can process and interpret complex datasets.

You will have the opportunity to present your findings to the team and contribute to the overall research strategy. Your insights will help shape the direction of our projects and ensure that we are making meaningful progress towards our mission of saving lives with data. You will also participate in team meetings and brainstorming sessions, where your ideas and perspectives will be valued.

What we offer

Truveta offers a unique internship experience that allows you to work on meaningful projects in the healthcare sector. You will be part of a mission-driven team that is dedicated to making a difference in people's lives through data. Our remote culture means you can work flexibly while still being part of a collaborative environment.

We provide mentorship and support to help you grow your skills and advance your career. You will have access to resources and tools that will enhance your learning experience and enable you to make significant contributions during your internship. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Join us at Truveta and be part of a team that is transforming healthcare through innovative technology and data-driven insights.

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