Roupen Odabashian: Comparing Research Compensation – Healthcare vs AI
Roupen Odabashian, Internal Medicine Physician and Hematology/Oncology Fellow at Karmanos Cancer Institute and Podcast Host at OncoDaily, shared a post on LinkedIn:
“Comparing Research Compensation: Healthcare vs AI
I’ve been analyzing the salary disparities between machine learning engineers and physicians, particularly in research roles.
At companies like OpenAI, Meta, Microsoft, and similar tech giants, ML engineers see their salaries increase substantially based on their research output and publications – often reaching into the millions.
The contrast with academic medicine is striking.
An academic oncologist researcher at an institution typically earns $200,000-300,000 annually. However, the same oncologist in private practice, focusing solely on patient care without research responsibilities, can earn up to $800,000 yearly. This can even reach $1-1.5 million in underserved northern states.
It’s mind-blowing how differently these industries value research.
In AI/ML, research directly drives compensation up.
In healthcare, more research actually means lower pay.
Perhaps most shocking: physicians conduct research without direct compensation – it’s purely for academic pride, CV building, and advancing patient care.”
More posts featuring Roupen Odabashian.
-
Challenging the Status Quo in Colorectal Cancer 2024
December 6-8, 2024
-
ESMO 2024 Congress
September 13-17, 2024
-
ASCO Annual Meeting
May 30 - June 4, 2024
-
Yvonne Award 2024
May 31, 2024
-
OncoThon 2024, Online
Feb. 15, 2024
-
Global Summit on War & Cancer 2023, Online
Dec. 14-16, 2023