Cool stuff! Thanks for the write-up. Getting broadcast ergonomics right in a fully statically typed context seems both tricky and pretty satisfying.
> We thought it’d be a fun/simple feature and a good break from the heavy duty work on automatic differentiation we had just published
Perhaps it wasn't as much of a break as you might think - funnily enough, static broadcast semantics can serve as an interesting structural foothold for certain AD optimizations [1]
(disclaimer: I'm a coauthor on that paper :) but it's been quite a while since I've done work in the AD space)
Beacon Biosignals | Multiple Positions | NYC, Boston, Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks. Interested in working with PostgreSQL, Typescript, React, and/or Julia daily? Reach out!
Beacon Biosignals | Multiple Positions | NYC, Boston, Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks. Interested in working with PostgreSQL, Typescript, React, and/or Julia daily? Reach out!
Cofounder here :) Happy to answer any questions about scaling Julia on K8s, data architecture for science-first teams, and our weird/wild journey to get to this point.
Congratulations! Some basic questions, if you’ll indulge: How exactly does Julia fit into your software architecture? Is your product a cloud offering and/or does it have a client side application? Do you use Julia for only the algorithmic parts, or much more than that?
Also, what do you even mean by data architecture for science-first teams?
> How exactly does Julia fit into your software architecture?
In a variety of ways:
- We have a bunch of external/internal Julia packages; Julia's package manager is really great at facilitating the development of "tooling ecosystems" comprised of lightweight libraries that compose well together. For example, we use Legolas.jl [1] in conjunction with a well-curated Arrow-in-S3 lake to help teams define lightweight, self-serviceable schemas for Arrow tables in a manner that integrates well with the wider Tables.jl ecosystem [2], interactive analysis workflows, and our own ETL/ELT-ish patterns.
- Julia powers some interesting services within Beacon's Platform. For example, one of our Julia services provides dynamic streaming DSP (multiplexing, filtering, statistics) for biosignal data, atop which we build other applications/pipelines for both product development and internal analysis work.
- We use Julia for exploratory distributed computing on K8s [3], which is awesome because Julia has a lot of potential in the distributed computing landscape (IMO [4]).
> Is your product a cloud offering and/or does it have a client side application?
We work with our clients to do neurobiomarker discovery, clinical trial design, deploy our analysis pipelines into clinical trials, and a few other interesting things :) One of the critical differentiators of Beacon is that we can precisely target and harness key EEG features to a degree that isn't possible without the kind of algorithms/tools we've developed.
> what do you even mean by data architecture for science-first teams
I want to do a blog post on this at some point, but a core value for us - across all of our processes, tooling, and data interactions - is self-serviceability and composability. IMO, the two are inextricably linked. Our goal is to empower each Beaconeer to perform analyses in an afternoon atop terabytes of data that would take them months in a lab atop gigabytes of data.
To achieve this, we treat large-scale data curation/manipulation as an activity that we're all empowered to participate in and contribute to, as opposed to an environment where separate data engineering teams have to administrate siloed systems. Tools like K8s/Julia/Arrow are key enablers here, by surfacing capabilities to domain experts that let them to iterate fast without needing to "throw problems over the wall" to other teams/systems.
It's not a perfect match, and it's a bit abstract, but I remember reading this post about "data meshes" [5] a while back and thinking "Hey, that's similar to what we're chasing after!"
Beacon Biosignals | Multiple Positions | NYC, Boston, Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks. Interested in working with PostgreSQL, React, and/or Julia daily? Reach out!
Beacon Biosignals | Multiple Positions | NYC & Boston | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks. Interested in working with PostgreSQL, React, and/or Julia daily? Reach out!
Beacon Biosignals | Multiple Positions | Boston, MA | Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks! To apply, check out https://beacon.bio/careers.
Beacon Biosignals | Senior Engineering Manager, Technical Program Manager | Boston, MA | Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available, and are always happy to chat with interested folks! To apply, check out https://beacon.bio/careers.
Excited to see this release's official inclusion of the pure Julia Arrow implementation [1]!
It's so cool to be able mmap Arrow memory and natively manipulate it from within Julia with virtually no performance overhead. Since the Julia compiler can specialize on the layout of Arrow-backed types at runtime (just as it can with any other type), the notion of needing to build/work with a separate "compiler for fast UDFs" is rendered obsolete.
It feels pretty magical when two tools like this compose so well without either being designed with the other in mind - a testament to the thoughtful design of both :) mad props to Jacob Quinn for spearheading the effort to revive/restart Arrow.jl and get the package into this release.
Beacon Biosignals | Multiple Positions | Boston, MA | Remote | Full Time
Brain monitoring is not easily accessible, interpretable or actionable. We're going to fix this, and we'd like you to help.
With improved access to brain data and the right tools to act on it, clinicians could intervene in real-time, match life-altering therapies to the patients they benefit most, and treat previously untreatable neurological and psychiatric diseases.
We're a small startup founded by numerical programmers, neuroscientists, ML researchers, and practicing neurologists who are committed to translating our best-of-breed clinical research from the lab into hospitals and beyond.
Our team is composed of neuro-experts, product development experts, open-source enthusiasts, audio/DSP/compilers nerds, and generally easy-going (but dedicated!) folks.
We believe that:
- Successful product development requires rapid, early feedback from real patients and clinicians.
- Feats of technical wizardry are only useful in combination with honest, frequent, and open communication.
- A diverse team builds more robust systems and practices more meaningful science.
We have a few different roles available (Ops Engineer, Program Manager, Director of Design, etc.), and are always happy to chat with interested folks! To apply, check out https://beacon.bio/careers.
> We thought it’d be a fun/simple feature and a good break from the heavy duty work on automatic differentiation we had just published
Perhaps it wasn't as much of a break as you might think - funnily enough, static broadcast semantics can serve as an interesting structural foothold for certain AD optimizations [1]
(disclaimer: I'm a coauthor on that paper :) but it's been quite a while since I've done work in the AD space)
[1] https://arxiv.org/pdf/1810.08297