Senior Data Scientist, Data Ingestion & Care Enablement

OUR MISSION

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

WHAT YOU’LL DO

As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care’s mission. In this position, you will collaborate closely with our Product Manager and our Growth and Operations teams to understand, ingest, and accurately model healthcare data for new and existing customers, supporting updates and fixes throughout the life of the relationship. You’ll develop novel attributes and flags from our existing data to drive action on our Care Team, and build visualizations to report on their impact.

In the course of your work you should also expect to:

• Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL and dbt

• Collaborate with other data scientists, data engineers, and analysts to build scalable and sustainable data models and pipelines

• Transform incoming eligibility, claims, prior auth, and ADT data to fit into our standard data models, identifying data quality issue or proposed standard data model enhancements as needed

• Translate business requirements into technical plans so you can design data models, pipelines, and analytics before you begin building them

• Build relationships with data teams at risk-bearing entities (insurers, ACOs, PCPs, etc.) and demonstrate Thyme Care’s expertise in building data & analytics products

• Ensure that internal customers have fast, accurate, and reliable access to data, supporting their decision-making and operations with high-quality data pipelines

WHAT YOU HAVE

• Expertise in working with large healthcare datasets (eligibility, medical / pharmacy claims, prior auth, ADT, etc.), ideally in a healthcare-focused technology startup with mature data structures and pipelines

• Experience designing data models to support both operations and analytics and building the data transformations in SQL to bring them to life

• An ability to “see beyond the question” to develop scalable solutions that are easily learned and reused by internal customers

• Experience with, or willingness to quickly learn, dbt and Looker

WHAT LEADS TO SUCCESS

Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you.

Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately.

Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.

Experience. You have worked with large datasets, ideally in a healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer, Data Scientist, or Data Engineer.

Technical ability. Proficiency in data modeling, transformation, and claims analytics is crucial. Familiarity with dbt is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python and experience with Looker or similar BI tools for data analysis and visualization is a plus.

Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.