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Akasa

is looking for a

Research Intern (Fall 2022)

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Remote - United States

About AKASA

Our mission is to enable human health.  

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees.  

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at www.AKASA.com.  

We are building the future of healthcare with AI.  Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.  

Join us.  

About the Role
Our research interns receive one-on-one mentoring from experienced researchers and have the opportunity to collaborate with engineering and annotation teams to solve real-world problems using real-world data. This internship aims to be the first to lead to publications in prestigious conferences. Internships are entirely remote, can start any time next year, and typically last 16 weeks. However, we are always open to collaborating beyond the internship. Read our first two research publications about Autonomous Medical Coding and using Deep Learning for Payer Response Prediction for more information on our previous work.
This is a remote (US Based Only) internship opportunity.

What You'll Do
  • Advance state of the art in machine learning applied to healthcare through research that will result in publication in a top tier machine learning conference or clinical journal

  • Skills & Qualifications
  • Ph.D. or second year Masters student in machine learning or related fields
  • Previous publications, at least one
  • Knowledge and experience in machine learning frameworks (Tensorflow and/or PyTorch)
  • Capable of committing to a 16-week internship
  • Exposure to machine learning in healthcare is valued but not required

  • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

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