Rapid medical data annotation
With an aging population, an overstretched radiology workforce, and healthcare generating over 30% of the world's data, the use of AI in clinical settings is on the rise. Cutting-edge AI algorithms can automate nearly 60% of diagnostic workflows, positively influencing patient outcomes. However, the implementation of AI in radiology is challenging due to inadequate infrastructure and lack of MLOps tools.
We aim to address this issue by establishing the foundational layer for AI in radiology, enabling any AI team to transition from raw data to FDA-approved AI. Currently, our focus is on developing sophisticated medical imaging annotation tools. Starting in 2024, we will also begin creating tools for other facets of the MLOps stack.
We're expanding our team of elite engineers and seeking individuals who are excited about tackling complex engineering challenges at a rapid pace. This role is perfect for those who thrive in high-pressure environments and are driven by the prospect of making significant contributions to groundbreaking projects.
Desired Skills:
Read more about our business here.
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).
The introductory call assesses the basic fit between what we're looking for and your skills and interests. You can expect the first call to last 15-20 minutes. We'll tell you about RedBrick AI, our mission, and what we seek. We'd love to hear about your experience and interests.
Please watch this product demonstration to learn about the RedBrick AI platform in preparation for the remaining interviews. RedBrick AI Introduction.
The technical interview will test programming skills relevant to our product. You can expect this interview to last approximately 1 hour. We will provide you with adequate before and during the interview.
The last step of our interview process is a 45-minute discussion with Shivam (CEO) and Derek (CTO) about our alignment in working style, values, and career objectives. Before this meeting, please take some time to review our Company Mission and Values.
Read more about our business here.
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).