About the role
With an aging population, an overburdened radiology workforce, and over 30% of the world's data being generated in healthcare, the use of AI in clinical environments is gaining traction. State-of-the-art AI algorithms can automate up to 60% of diagnosis workflows, positively impacting patient outcomes. However, implementing AI in radiology is difficult due to the lack of powerful infrastructure and MLOps tooling.
We aim to solve this problem by creating the foundational layer of AI in radiology. This will enable any AI team to go from raw data to FDA-cleared AI. Our current focus is on developing advanced medical imaging annotation tools.
We are seeking to hire an in house recruiter to help us fill open positions and manage our internal HR processes.
Who you are:
Experienced in both HR and recruiting. Able to source candidates for technical roles. Experience with hosting and organizing events is a big plus.
Core Responsibilities:
- Source candidates for open positions through active outreach
- Manage candidate experience
- Manage employee onboarding and offboarding
- Plan and host events, both for external recruiting purposes but also internal team building.
More background
RedBrick AI's mission is to accelerate the adoption of artificial intelligence in radiology by building world-class software infrastructure. Currently, we are focused on helping radiology AI teams prepare high-quality datasets to train their algorithms.
Radiology data, such as CT and X-ray scans, is an incredibly important source of truth in healthcare delivery. In fact, over 90% of all healthcare data is medical imagery! However, the global radiology workforce is overburdened. In the UK, for example, only 2% of radiology departments are able to fulfill their reporting requirements, and this trend is reflected worldwide.
The acute state of radiology, coupled with the abundance of data, makes the use of AI in radiology a prime candidate. In 2022, $5.6 billion was invested in the development of AI in healthcare! However, a key hindrance to further adoption is the lack of sophisticated tools to build and deploy AI algorithms in clinical environments. This is the problem we’re focused on at RedBrick AI
We're a team based out of Bangalore India, and USA. We're backed by leading institutional investors like Y Combinator and Peak XV (formerly Sequoia Capital India).
RedBrick AI
