Serif Health

About Serif Health: Serif Health is a YCombinator-backed startup dedicated to increasing transparency and lowering costs in the United States healthcare system.  Our world class team aggregates, enhances, and distributes billions 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: Perform statistical analysis of trillions of data points across our data sets to uncover actionable insights Build predictive models, algorithms, and analytical frameworks based on your observations that can be productized for our customers Design, build and sustain clustering, NLP, and outlier detection algorithms and/or machine learning models that can classify, link, and de-noise healthcare pricing data points across data sets and over time Collaboratively define the data architecture and delivery processes for our company, and ensure our customer pipeline can scale and grow profitably relative to the size of our team. Keep abreast of industry developments and best practices in data science and engineering What we expect: At least 5 years of academic and/or commercial experience in a healthcare data science and analytics role Proficiency in Python and SQL for data manipulation and analysis. Experience with statistical modeling, machine learning, and data visualization tools (e.g., TensorFlow, Pandas, Scikit-Learn, PyTorch, and Keras or similar). Comfort working with large-scale datasets (2TB+, 300B+ rows added monthly) and distributed computing platforms like Databricks/Spark for large-scale data transformation and model training. A track record of solving complex, unstructured problems with creativity and precision. Strong communication skills and the ability to present data-driven narratives to stakeholders at all levels. An ability to work independently, move quickly, and self-manage for high impact in a small team environment.  High attention to detail, strong written and verbal communication skills, and professionalism Passion for problem solving and increasing affordability & transparency in the US healthcare market What we'd love to see (Bonus): Experience working with any of the following data: electronic medical records, medical claims and explanation of benefits, healthcare billing / coding / pricing Prior experience working in a startup or small team environment Familiarity with Amazon AWS data science & ML stack Prior experience in roles requiring direct interaction with customers Job Location: Anywhere in the U.S. - Serif Health is a remote-first company with team members coast-to-coast. We hold on-sites at least quarterly in rotating locations across the U.S. for team members to get to know each other and collaborate in-person.

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 growing list of B2B & Enterprise customers. Thanks to our tight focus and high level of expertise, we have strong customer traction, high NPS and inbound referral rates, and a top 1% balance sheet. We’re looking for a Senior Fullstack Engineer who will help us design and build intuitive, high-performance web application UI/UX in Vue that make complex healthcare data approachable, actionable, and beautiful. What You’ll Do Lead the design and development of full stack features for Serif Health’s customer-facing products, dashboards, and internal tools. Build responsive, accessible, and performant interfaces in VueJS that simplify exploration of complex healthcare data. Design, build, and sustain Golang systems and services that automate analytics product workflows and business logic. Work closely with data, product and design teams to translate requirements into polished, user-friendly experiences. Conduct user research and feedback cycles to continuously refine UI/UX. Collaboratively define the product engineering roadmap & architecture for our company, and document our processes as we grow. What We Expect Professional experience building modern web applications with VueJS. Fluency in Go (or another compiled/typed language) + familiarity working with Postgres and Git Familiarity with Amazon AWS stack (EKS, EC2/ECS, RDS, S3, etc) and cloud-based infrastructure monitoring tools (Datadog, etc) Familiarity with data visualization libraries (D3.js, Chart.js, ECharts, or similar). Strong product intuition and empathy for end users; ability to translate complex data into usable interfaces. High attention to detail, excellent written and verbal communication skills, and professionalism. Ability to work independently in a fast-moving, distributed team environment. What We’d Love to See (Bonus) Experience with healthcare data: medical claims, prescription drugs, life sciences, procedures pricing or billing. Familiarity with API-driven applications and REST integrations. Experience working with massive data sets and high-performance systems at scale (data sizes 1TB+, 200BB rows/mo) Prior work in a startup or high-growth software company environment. Why Join Us Mission-driven impact: Help bring affordability and transparency to U.S. healthcare. Cutting-edge challenges: Work with some of the largest open healthcare datasets in the country. Small, high-caliber team: Join experienced engineers and data scientists where your impact will be visible and immediate. Remote-first: Work anywhere in the U.S. with quarterly in-person gatherings in rotating locations.