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Research Associate - LTI - School of Computer Science

Carnegie Mellon University
Pittsburgh, PA Part Time
POSTED ON 1/23/2025
AVAILABLE BEFORE 3/23/2025

Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration.

The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms.

We are seeking a Research Associate. This role is to conduct research on healthcare foundation models and their applications in various healthcare scenarios.

Core Responsibilities

  • Perform research on healthcare AI, including pretraining of foundation models on healthcare data
  • Design various downstream tasks that reflect real healthcare workflow scenarios
  • Work in a team of AI researchers and healthcare professionals to design, develop, and train foundation models in healthcare data
  • Evaluate the trained models in various healthcare downstream applications.

Flexibility, excellence, and passion are vital qualities within the School of Computer Science Research Department. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications

  • PhD degree
  • 1-3 years of experience working in AI and healthcare
  • Experience with Deep Learning, NLP, and healthcare AI
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements

  • Successful background check investigation

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Part time

Pay Basis

Hourly

More Information: 

  • Please visit Why Carnegie Mellonto learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran

  • Statement of Assurance

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