Serif Health was founded with a mission to make the US healthcare system more transparent, efficient, and affordable for everyone - and we believe working on healthcare should be a healthy experience. We are fully remote and offering competitive salaries and equity plans. While we are headquartered in California, our team has the flexibility to work from wherever they choose as long as they’re able to join meetings remotely and complete their work.
About Serif Health:
At Serif Health, we are taking the complexity out of the cost of healthcare. Our mission is to make healthcare pricing and contracting more transparent, easier to understand, fairer, and ultimately more affordable for all. New price transparency regulations have made a wealth of healthcare pricing and reimbursement data publicly available for the first time, but it is still extremely hard to ingest, organize, and actually use this data to understand the cost of care. That’s where we come in. Serif Health is building healthcare price intelligence data products and APIs to power the future of more transparent healthcare.
Our world class team aggregates, enhances, and distributes trillions of healthcare pricing data points each month for a sizable list of B2B & Enterprise customers. Thanks to our tight focus and high level of expertise, we have strong paid customer traction, high NPS and inbound referral rates, and a top 1% balance sheet.
We are excited to add new team members motivated by our mission, passionate about making a difference in healthcare, and who have a track record of being the best at what they do.
What You’ll Do:
What we expect:
What we'd love to see (Bonus):
Job Location: Anywhere in the U.S. - Serif Health is a remote-first company with team members across California, Ohio, Washington, and New York. We hold company gatherings at least quarterly in rotating locations across the U.S. for team members to get to know each other and collaborate in-person.
On the benchmarking and price ingestion side, we have price ingestion running in a job system on top of EC2 & EMR / Spark, with our core data lake and ETL pipelines run on Databricks. We ingest a nationwide dataset of nearly half a trillion rows, several TB of data from hundreds of sources, and have the ability to slice and distribute any volume of that data out to customers.
Our high-throughput APIs and backend are actively being migrated to Golang for the benefits type safety can provide, and all of our backend services run in an autoscaling, self-healing Kube cluster. Our frontend web app is NodeJS/VueJS on Postgres.
Our cloud provider is AWS, with config and deployments via GH Actions + Terraform.
We’re going to cover a few real-world data processing problems we've seen in the existing payer data & pricing data set. We’d love to understand the process you’d take to solve these, understand your creative & problem solving process, and hopefully get you excited about the challenges we’re working on.
Processing data at this scale is quite performance and cost sensitive.
You'll also get the chance to meet other engineering and leadership team members via introductory chats. This is a chance for us both to understand working styles, and motivations for wanting to work in this problem space.