Imagen Technologies | Head of Business and Clinical Operations / Senior Computer Vision Research Scientist / Senior Software Engineer | New York, NY | Full-time | Onsite
Imagen is creating a world without diagnostic errors. Our initial focus is on building AI-based software that can detect clinically-meaningful pathologies within medical images. Imagen’s long-term vision is to keep patients healthy by delivering novel insights to support early disease identification and improved patient management across episodes of care.
Briefly on the roles:
Head of Business and Clinical Operations - Responsible for scaling and managing our large clinical team and owning key day-to-day priorities around finance, talent, and operations.
Senior Computer Vision Research Scientist - Build advanced machine learning models for detection, localization, and segmentation to provide automated diagnoses of medical imagery. We strongly encourage our scientists to publish their research and regularly travel to conferences.
Senior Software Engineer - Work closely with our clinicians and product to define and build web applications, manage our large and growing dataset, and streamline machine learning processes.
I’m an engineer at Imagen, and love the mission and people. Feel free to reach out, contact info in profile.
Imagen Technologies | New York, NY (NYC) | Software Engineer | ONSITE | Full Time | https://jobs.lever.co/imagen
Imagen is a venture-backed medical technology startup. We’re creating a world without diagnostic errors by leveraging machine learning and computer vision, paired with the expertise of our world-leading clinician partners from Mayo Clinic, Hospital for Special Surgery, Stanford Medicine, Mount Sinai and others.
We’re looking for experienced full stack and backend engineers who want to work closely with our scientists, clinicians and product team to define and build software systems built around our core computer vision models. You’ll be one of the first ten employees and will be responsible for important work that has the potential to transform the way that patients are diagnosed and treated.
If you have 20 minutes, our CEO gives a great summary of what’s wrong with the current system and how we look at it differently, with examples: https://www.youtube.com/watch?v=L4EOsOznZ-Q
Some concrete things that are special:
- We’re investing in wellness by offering everyone a free fitness tracker that syncs with our iOS and Android apps with a $1/day reward for reaching step goals
- We’ve built real-time systems that enable our medical management staff to reach out to members to manage their care and guide them to the right care. One system I’m proud of building gets us real-time notifications when members get admitted to local hospitals and emergency departments — http://hitconsultant.net/2014/12/12/shin-ny-oscar-introduce-...
- We made tele-visits completely free and very easy to use.
We have big ambitions to rewire the healthcare system and a team with exceptional backgrounds in technology and healthcare that has a pretty good shot at executing successfully on those ambitions.
I work in a mainly Python + JVM environment, and this has been very useful in deploying a Rails-based distributed build system (https://github.com/square/kochiku) in our environment.
It’s super easy to build essentially static multi-platform tarballs—on my Mac—that just work in our Linux production environment.
This is complete garbage. Even allowing for it being a microbenchmark, each iteration contains a System.out.println that takes thousands of times more cycles than the conditional.
In addition, this varies greatly depending on the values you're matching against (how efficiently can it be compiled?) and what compiler is being used, even in just the Java space.
And if you are using a JIT that optimizes frequent code; how easily the branches are predictable and a host of other factors. Also, I don't think this comparison is even useful: clearly if-else and switch-case have different use-cases.
Some others have also hinted at using an array of function pointers and indexing by switch variable. This looks cleaner, but is not necessarily faster, since each call then involves chasing down a memory-pointer (this is also the general argument against virtual functions).
I'm not sure how valid this C-argument is in Java world, but I believe pointer chasing is a major performance problem (C# requires an explicit virtual declaration on functions for the same reason).
> Some others have also hinted at using an array of function pointers and indexing by switch variable.
Doing this explicitly makes no sense -- I'm pretty sure the compiler will compile the switch this way if its heuristics determine that it the fastest way.
You'll need a friend at UCLA, but I just had a buddy pick up a previous gen Macbook Pro for me this morning for $1099+tax. It's definitely better bang for the buck than the current MBP.
Wow, that's a steal! Unfortunately I live on the opposite side of the country (NC) and don't have any friends at UCLA. I've looked at the laptops on sale on Black Friday but I haven't been able to find a decent one yet.. looks like all the big stores are running pretty weak promos this year.
I can't speak to your situation, but I have a feeling that most graduate schools in engineering and science don't care that much about your verbal score if you're a native English speaker.
MSR has been around for a pretty long time. Sure, these are really cool research projects, but turning research into products hasn't traditionally been one of Microsoft's strengths.
It'd be interesting to see where they take these projects three years from now.
Imagen is creating a world without diagnostic errors. Our initial focus is on building AI-based software that can detect clinically-meaningful pathologies within medical images. Imagen’s long-term vision is to keep patients healthy by delivering novel insights to support early disease identification and improved patient management across episodes of care.
Briefly on the roles:
Head of Business and Clinical Operations - Responsible for scaling and managing our large clinical team and owning key day-to-day priorities around finance, talent, and operations.
Senior Computer Vision Research Scientist - Build advanced machine learning models for detection, localization, and segmentation to provide automated diagnoses of medical imagery. We strongly encourage our scientists to publish their research and regularly travel to conferences.
Senior Software Engineer - Work closely with our clinicians and product to define and build web applications, manage our large and growing dataset, and streamline machine learning processes.
I’m an engineer at Imagen, and love the mission and people. Feel free to reach out, contact info in profile.
https://jobs.lever.co/imagen