Yertis

Ribbon Health | New York, USA | Full-time | https://jobs.lever.co/ribbonhealth

We’re looking for entrepreneurial software engineers who are motivated by our mission to simply healthcare. We’re building an API layer that powers the workflows of healthcare providers, care navigation platforms, health plans, and emerging digital health companies. You’ll be involved throughout the product lifecycle and collaborate closely with technical and non-technical stakeholders to understand our customers’ use cases and challenges, and build products to solve them.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and a “get-it-done” attitude; strong comfort with a lean startup environment, where everyone is encouraged to participate in and contribute across all teams

Your day-to-day:

- Build production-grade API platform: You will design, build, and maintain Ribbon’s core APIs and services, making sure our platform is enterprise-grade across end-user functionality, security, and scalability

- Build and launch new products: You will work with the product team to design, build, and launch new products and product features. This includes new APIs and front-end applications to extend the reach of our core technology

- Build data pipelines: You will build data pipelines to bring together thousands of datasets across hundreds of different sources; data engineering is a core part of what we do

- Build data infrastructure: You will develop infrastructure to support our ETL, analytics and modeling workflows

- Build internal tools: You will help our internal teams 10x their efforts by developing tools to streamline their workflows (e.g. sales, deployment, recruiting, and product)

- Evaluate third-party and open source software: You will make decisions about what we build versus buy and where to buy

Ribbon Health | New York, USA | Full-time | https://jobs.lever.co/ribbonhealth

We’re looking for entrepreneurial software engineers who are motivated by our mission to simply healthcare. We’re building an API layer that powers the workflows of healthcare providers, care navigation platforms, health plans, and emerging digital health companies. You’ll be involved throughout the product lifecycle and collaborate closely with technical and non-technical stakeholders to understand our customers’ use cases and challenges, and build products to solve them.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and a “get-it-done” attitude; strong comfort with a lean startup environment, where everyone is encouraged to participate in and contribute across all teams

Your day-to-day:

- Build production-grade API platform: You will design, build, and maintain Ribbon’s core APIs and services, making sure our platform is enterprise-grade across end-user functionality, security, and scalability

- Build and launch new products: You will work with the product team to design, build, and launch new products and product features. This includes new APIs and front-end applications to extend the reach of our core technology

- Build data pipelines: You will build data pipelines to bring together thousands of datasets across hundreds of different sources; data engineering is a core part of what we do

- Build data infrastructure: You will develop infrastructure to support our ETL, analytics and modeling workflows

- Build internal tools: You will help our internal teams 10x their efforts by developing tools to streamline their workflows (e.g. sales, deployment, recruiting, and product)

- Evaluate third-party and open source software: You will make decisions about what we build versus buy and where to buy

Ribbon Health | New York, USA | Full-time | https://www.ribbonhealth.com/careers/

We are looking for a Data Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and relevant past experience in working with data at scale (e.g. any of Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to careers@ribbonhealth.com!

Ribbon Health | New York, USA | Full-time | https://www.ribbonhealth.com/careers/

We are looking for a software engineers to help us scale our data product across data collection, normalization, modeling and platform efforts. A best-in-class data platform is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and relevant past experience in working with data at scale (e.g. any of Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to careers@ribbonhealth.com!

Ribbon Health | New York, USA | Full-time | https://www.ribbonhealth.com/careers/

We are looking for a Data Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and relevant past experience in working with data at scale (e.g. any of Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to careers@ribbonhealth.com!

Ribbon Health | New York, USA | Full-time | https://www.ribbonhealth.com/careers/

We are looking for a Data Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and relevant past experience in working with data at scale (e.g. any of Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to careers@ribbonhealth.com!

Ribbon Health (https://www.ribbonhealth.com/careers/) | New York, USA | Full-time

We are looking for a Data Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Grit, hustle, desire, and relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to careers@ribbonhealth.com!

Ribbon Health | Software Engineering (Data Engineering, Machine Learning) | New York, USA | Full-time | Backed by Y Combinator, SV Angel, and Box Group

We are looking for a Software Engineer (from entry to senior level) to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our predictive modeling efforts, data collection, and ETL to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

To learn more, please go to: https://www.ribbonhealth.com/careers/. If you're interested, please reach out to team@ribbonhealth.com!

Ribbon Health | Software Engineering (Data Engineering, Machine Learning) | New York, USA | Full-time | Backed by Y Combinator, SV Angel, and Box Group

We are looking for a Software Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company

- Relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our predictive modeling efforts, data collection, and ETL to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

To learn more, please go to: https://www.ribbonhealth.com/careers/. If you're interested, please reach out to team@ribbonhealth.com!

Ribbon Health | Software Engineering (Data Engineering, Machine Learning) | New York, USA | Full-time | Backed by Y Combinator, SV Angel, and Box Group

We are looking for a Software Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company Grit, hustle, desire, and relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our predictive modeling efforts, data collection, and ETL to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

To learn more, please go to: https://www.ribbonhealth.com/careers/. If you're interested, please reach out to team@ribbonhealth.com!

Ribbon Health (https://www.ribbonhealth.com/careers/) | New York, USA | Full-time We are looking for a Software Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company Grit, hustle, desire, and relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to team@ribbonhealth.com!

Ribbon Health (https://www.ribbonhealth.com/careers/) | New York, USA | Full-time

We are looking for a Software Engineer to help us scale our data product across data collection, normalization, and modeling efforts. A best-in-class ETL pipeline is core to our ability to build a great product and have a meaningful impact on healthcare decisions.

What we’re looking for:

- Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient

- Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company Grit, hustle, desire, and relevant past experience in working with data at scale (e.g., Postgres DB, Apache Hadoop, Spark, HBase, Presto, Hive)

- Familiarity across full stack and a “get it done” attitude; strong comfort with a lean startup environment, where all technical members are encouraged to participate in and contribute to the business, product, sales, etc.

Your day-to-day:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Build, design, improve, and launch new API features. To learn more, see: https://ribbon.readme.io/docs

- Manage independent work-streams while also working collaboratively with data science (e.g., deploying new models) and business teams (e.g., sales engineering)

If interested, please reach out to team@ribbonhealth.com!

Ribbon Health (YC S17) | Software Engineering, Data Engineer, Data Scientist | New York, NY | Onsite | Full-time

Ribbon Health is a predictive analytics and data platform for the healthcare industry. Our API powers digital healthcare companies and insurance companies with accurate and comprehensive data on doctors, insurance plans, and healthcare costs. We're a small team (4 people now, expected to grow to ~7 by the end of the year). Check out our documentation at: https://ribbon.readme.io/docs

We're hiring for both data science and software engineering.

While at this stage we all wear many hats, for the Software Engineer, you would be working on:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform

- Building, designing, improving, and launching new API features.

For the Data Scientist, you would be working on:

- Owning all aspects of analytics across company to drive company strategy and suite of data products

- Building proprietary predictive models from existing internal datasets and new datasets you develop

If you're interested, check out https://www.ribbonhealth.com/join or reach out to us at team@ribbonhealth.com!

HealthWiz (YC S17) | Software Engineering, Data Engineer, Data Scientist | New York, NY | Onsite | Full-time

HealthWiz is a predictive analytics and data platform for the healthcare industry. Our API powers digital healthcare companies and insurances with accurate and comprehensive data on doctors, insurance plans, and healthcare costs. We're a small team (3 people now, expected to grow to ~6-7 by the end of the year). We're hiring for both data science and software engineering.

While at this stage we all wear many hats, for the Software/Data Engineer, you would be working on:

- Scaling out our data collection, normalization and modeling efforts to help build a best in class healthcare data platform - Building, designing, improving, and launching new API features. To learn more, see: https://healthwiz.readme.io/docs

For the Data Scientist, you would be working on:

- Owning all aspects of analytics across company to drive company strategy and suite of data products - Building proprietary predictive models from existing internal datasets and new datasets you develop

If you're interested, check out https://www.myhealthwiz.com/join or reach out to us at team@myhealthwiz.com!

Credit Card Magic!

There's an awesome service that is executing on this idea in NYC and other similar markets, and is growing pretty quickly: https://roomiapp.com/

This is an interesting play in the voice space...kind of reminds me of the role Dropbox has played in online storage vs GOOG, MSFT, AAPL, AMZN, etc. By being platform agnostic, users can get a unified and better experience across their devices.

Right now voice is cool, but to me it's a little bit of a gimmicky feature that acts differently across devices from different ecosystems. It makes it that much harder to universally change my behavior toward voice across the different devices I use. I can see how Life Bot could change that.

Have you guys thought about the ecosystem dynamics for Life Bot? Do you think the big players will play nice if you start to own the voice relationship with the user, instead of AMZN/GOOG/MSFT/AAPL?

There are a couple -- in this article they mentioned Escher Reality, which is providing a backend to AR. Definitely think there will be more in the future as things progress!

Ah, that's awesome -- the point on integration especially is a big one.

The more ways clients can hook the insights into their CRMs/workflow/user base, the more they can "operationalize it", as you eloquently put it, and make it a part of their workflows, the way the client you described does with their call center. I love it!

Love this! When I was at one of the big tech companies years ago, we tried to do something like this for reviews for all the products, and see how they stacked up in the marketplace. Was a really challenging problem to do in an automated way at scale -- definitely wish we had a solution like this!

Do you guys see yourselves sticking to a model that spits out analysis, and let customers decide what insights to gain from the data? Or could there be a path where eventually it lets users take specific actions based on the data?

That's a poor result on our end -- we're building the feature that you described so that we're more on point when we have a low match like that. And the sad part is we actually do have national coverage of physical therapists, so it was a lost opportunity to get you to that next step.

If you're interested, would love if you tried the next version that we're working on. Our goal is that it will be able to better handle cases like these (which happen about 10% of the time right now -- which is a lot and in our minds leaves a lot of room for improvement.)

Unfortunately our tool doesn't get it right 100% of the time. The cases like this where we miss, we try to encourage the user to find a healthcare provider when the tool falls short. Fortunately, the models always learning -- but it's still got a long way to go.

We're releasing a new and improved version of the symptom tool next month -- if you're interested, would love to have you try it once it's ready!

And sincerely sorry to hear about your neck fracture. Best wishes from us that you're getting great care for an as quick and painless recovery as possible.

[edited]

This is a great point -- weighing false positives against false negatives/true positives/false positives is something we think about a lot. It's really important to get this right.

This is why, at this stage, we have a strong bias towards guiding people towards the right care provider rather than trying to replace them; it's more of an aid rather than substitute. One example of this is how some of our users have used the symptom tool with joint pain, and its helped them figure out that they should see a rheumatologist, who was then able to guide them towards the right care to treat their particular version of arthritis.

It's smart care providers like that that can really deal with the nuanced cases and make sure people minimize the risk that they miss things like a pulmonary embolism.

Thank you for your kind words!

And agreed on the trickiness of starting a business in healthcare. Many factors that drive economics/incentives/needs, and requires a lot of thought toward thinking how to best align many different interests. Definitely helps to be mission driven!

Fixed!

"Attention deficit hyperactivity disorder (ADHD) is a group of behavioural symptoms that include inattentiveness, hyperactivity and impulsiveness."

Just a little bit more on point ;)

Hah! Thank you -- Condition summary string got mis-mapped we're fixing that now.

Definitely not #2!

We just digged a bit to learn more about them; WOW, what an amazing organization and mission!

A lot of the tech we've built is focused on integrating with US insurance plans, but we have been starting to get asks from some of our clients about offering our solution in other markets as well, so we can definitely see efforts like ours expanding internationally. In the short term we're focused on serving US companies who are struggling with rising healthcare costs, but perhaps there's an opportunity to partner on the tech related to things like our symptom checker and condition content.

From a mission standpoint of helping everyone get access to better healthcare, that's something where we definitely align strongly. We'll reach out to see if they might find any of our technology useful -- would be an amazing partner!

[edited for grammar + expanding on a point]

Thank you!

As a geek with a few of my own "fringe interests" ;), I love this idea of making it so hacker types can see the adjusting rankings behind the hood.

Sometimes websites do this unintentionally by the things they leave in the html and what not, but would be fun to think of the easter eggs we could leave behind!

Thank you for the kind words and the helpful feedback! On your points:

1) That's a great point -- we should make that more clear that the user answered the question (and not seem like its broken if the questions are similar)

2) The way it currently works is we wait until the symptom checker has reached high enough confidence to render the results. Sometimes this can take 15+ questions, which we've found to be frustrating to the user. So we've designed the tool to give the user lots of ways to exit the symptom checker toward taking action (learning more about a relevant condition, or getting help to find a doctor, etc). To your point, I think we definitely need to make it clear that step 3 isn't the goal per say -- that there are multiple ways to exit the tool, and it's not just only answering enough questions to get to a high enough level of confidence