Athelas is a Sequoia funded biotech startup working on modern, point-of-care diagnostics using Machine Learning. Our main product is an FDA cleared device for immunoresponse monitoring. We're scaling deployments rapidly across the country, and our customer base includes major pharmaceutical companies. If you're interested in modernizing healthcare and working at the intersection of machine learning and healthcare, we are the right place for you.

Athelas is a small, creative, and hard-working team and we're looking for individuals with a founder-type mentality to join us.

About the Role

Our team is looking for a Business Operations Associate who will play an integral part in our Business Operations team. You will work across the whole organization (Product, Eng, Operations, Sales, Account Management) to define critical business processes. You will have end-to-end ownership - ensuring efficient execution and driving business metrics.

This is an incredibly high-visibility, high-impact, high-autonomy role that will quickly expand to cover more and more emergent business problem areas. Successfully navigating and solving our hyper-growth challenges will lead to rapid growth in role and responsibility. There is no ceiling.

What You’ll Do

• Breakdown hairy, challenging business problems
• Define a product/process solution
• Own execution and outcomes
• Drive operational metrics (process throughput, defect rate, etc.)
• Understand the business in-and-out to be proactive about solving emerging problems
• Interact across multiple teams (product, eng, ops, sales, AM) with high upwards visibility

What You Have

• 1-3 years of relevant experience, such as biz/product/sales operations at a fast-paced, high performance tech company
• Deep experience in data analysis (SQL and excel strongly preferred)
• Strong technical mindset to spec and deliver on product/process improvements
• Excellent at breaking down problems into smaller pieces to roadmap for engineering and other teams
• Systems thinking: you understand how various components interact to produce a desired outcome
• Extreme Ownership: you care about the details and hold yourself to the highest standard of work product
• Comfortable with ambiguity, context-switching, and a fast-paced environment
• A desire to create a category-defining business

Why You’ll Like Working with Athelas

• Execution focused, driven team: Join a team with an incredible record - we are the smallest, fastest company in history to receive FDA hematology clearance. We are also the largest Remote Patient Monitoring company in the US, with a fast-growing SaaS Revenue Cycle Management business as well
• Technology Focus: Revolutionizing how technology can be used in the healthcare industry
• Strong Backing: $132M Series B raised from the likes of Sequoia, General Catalyst, Tribe, Y Combinator
• Mission Driven: We are changing the way healthcare is provided, bringing it directly to the people who need it with technology-enabled solutions
• Incredible Growth: 10x growth the past year and we're just getting started

Machine Learning

Our device captures high resolution images of blood smears which we analyze using internally CNNs. Our networks are responsible for segmenting cells, classifying them, and deciding which images include valid and invalid samples. In addition, we have specially designed networks for classifying abnormal cells (blast cells, giant platelets, nucleated red blood cells) that require additional intervention.

Hardware

Our hardware stack includes custom objective lenses and image sensors to provide the optimal tradeoff for field of view and cell resolution. Our device includes an onboard linux processor, motor drivers, and a linear actuator for orienting and moving the sample. We are always looking to improve our imaging stack to provide more powerful images for analysis.

Clinic Product

We provide customers (clinics) a web-based interface for analyzing results, looking up patient history, and integrating directly with pharmacies. Our frontend is built entirely in react and redux.

Server API

Our APIs are built using flask and sqlalchemy with a postgres database. Our infrastructure is hosted using Kubernetes on GCP. We believe in simple, reliable infrastructure that allows us to spend most of our time on improving our tests and adding new ones.