Layer Health is a company that combines expertise in machine learning, medicine, and human-computer interaction to provide health-related services. The company was launched in 2023.

Layer Health

Layer Health is a healthcare AI company spun out of MIT and backed by Google Ventures, General Catalyst, and Inception Health. We are solving the information problem in healthcare.

Our engineering team names its sprints with a theme -- we've iterated through Taylor Swift albums and art history movements thus far. Now, we're paying homage to famous poets, and Robert Frost is up first!

We prompted GPT-4 to write a poem about Layer Health in the style of Frost and have been loving the results...

"In the wood of commerce, dense and deep,
Layer Health by a choice did quietly creep.
Two roads diverged where the future lay,
And they, with a vision quite bold, did sway
Toward the path less traveled by the rest,
Believing in a journey that might be best.

With large language models as their guide,
Through the thicket of clinical data, wide,
They sought to make sense of the cryptic lore,
That doctors and nurses had faced before.
A daunting task, some might say,
Yet, Layer Health walked on, come what may.

The woods were lovely, dark, and deep,
But promises to patients, they aimed to keep.
Not just to cure, but understand,
With every data point at their command.
In the silence of the untraveled road,
Their algorithms tirelessly decoded the code.

Where others saw but trees, they found a way,
To bring forth light, turn night to day.
In the fabric of healthcare, a thread so bold,
A story of innovation and courage, told.
By taking the path less trodden, they show,
How from untamed wilds, healing can grow.

And years from now, perhaps we'll see,
The impact of this journey, bold and free.
Layer Health, by the road not taken,
Has left its mark, unshaken, unbroken.
For in the quest to understand life’s intricate tale,
They chose a path, and on it, they sail.

So here's to the brave, who dare to explore,
The depths of data, forever more.
Like Frost, they stand where paths diverge in a wood,
And taking the one less traveled, has made all the good."

It's been a great two months at Layer Health so far -- come join me! We're hiring for a data scientist (https://lnkd.in/gJdd6DjF) and a data infra SWE (https://lnkd.in/gmTDdZPR), based in Boston, NYC, or east coast.

We’re building tools to radically simplify, speed up, and improve the quality of extracting and synthesizing information from medical records. The team is extremely talented, the opportunity is huge, and the work is both bleeding edge and rewardingly meaningful. If you're interested, please apply and feel free to reach out to chat about it!

Join the team at Layer Health and be part of our incredible journey! Our goal is bold: to revolutionize how health data is created and used.

In just over a year, we've made significant strides. Our LLM-powered platform enables users to rapidly make sense of longitudinal clinical data, with incredible results across specialties. And we're just getting started. We're #hiring passionate people, including data infrastructure and fullstack engineers, to play a pivotal role in shaping our platform's future. If you're excited about leveraging cutting-edge technology to decipher clinical data and enhance healthcare outcomes, we want you on our team! Check out our open roles and apply at https://lnkd.in/eXVjrtqe.

#hiring #jobs #startups #boston #nyc

Generative AI can be used in a number of ways -- to transform healthcare, undoubtedly, but also for fun :)

Week to week, our engineering team names its sprints with a theme. Lately, we've been on an art history kick! Our sprints are named after art movements and we've been reimagining our logo in the style of each one. Here are creative interpretations of our logo from our first few weeks of this theme, courtesy of OpenAI's DALL·E 3: baroque, rococo, romantic, and neoclassical.

Layer Health is hiring! We're looking for an experienced fullstack/frontend engineer to join our team and help revolutionize healthcare together!

You'll be working with small team of super talented engineers with expertise spanning machine learning, LLMs, medicine, human computer interaction, and cloud/infra. We’re building tools to radically speed up and improve the quality of extracting and synthesizing information from medical records. 

We've got a solid tech stack already and are shipping continuously to customers ranging from real world evidence companies to hospitals.

You'll own the design, development, and deployment of features end to end.

If this sounds exciting please reach out and apply!

https://lnkd.in/eqXeD5RP

We’re also hiring for data scientists, data infrastructure engineers, medical abstractors, and nurse abstractors — check our careers page for more info (https://lnkd.in/e2HanvxC).

How can we unlock AI's great potential in healthcare?

Answer: Apply the "AI layer" to clinical data. 

David Sontag and I discuss unlocking insights from clinical data to provide the right information to the right people at the right time. 

On the latest episode of Smarter Healthcare with AI, we explore Layer Health and its team's work to enable scalable clinical data abstraction for quality improvement registries, care optimization, and the surfacing of best practices in healthcare delivery.

#smarterhealthcarewithai #ai #aiforhealth #ai4good #quality #data #healthoutcomes #innovation #llm #layerhealth #validation #research

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