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.

At Athelas we're bringing simple, life-changing health care products and medical billing services to people around the globe.

The future of healthcare is at home - we are a team of technologists building the next generation of care management at the intersection of hardware and software. We won’t stop until we’ve brought the world class tools of a hospital to your home.

We develop hardware software, and diagnostics to improve the lives of chronic care patients (cancer, hypertension, schizophrenia, bipolar disorder).

In the US, 80% of healthcare spend occurs in 20% of patients. We aim to drastically reduce this cost through modern devices and preventative care services. Our core device (FDA Class 2 cleared) uses machine-learning trained on cell classification to allow chronic patients to monitor their white blood count at home. Our core software product is a platform to help doctors monitor vitals, trends, etc. of such patients, so that physicians and patients can stay aligned without direct interaction.

We also have a fast growing SaaS Revenue Cycle Management business that provides revenue intelligence for hundreds of healthcare businesses, from small clinics to large health systems. Our state-of-the-art dashboard Athelas Insights provides unparalleled understanding into the financial health of your practice to help you with all aspects of RCM including denials, working A/R, research, and more.

We've raised $132 million at a $1.5 billion valuation from top tier investors such as General Catalyst, Sequoia Capital, Y Combinator, and Initialized.

Remote

Compensation: ~$60k - $75k base salary

What You’ll Do

Manage the on-boarding & implementation process of Athelas Revenue Cycle Management (RCM) tools/services into new medical practices Coordinate externally with doctors, clinics, and hospitals Utilize data tools to extract, format, and integrate patient data into the Athelas patient management platform Partner with the strategy and sales departments to build out and continuously improve the patient, clinic, and doctor implementation processes Maintain relationships with current customer base Identify customer needs and expand Athelas services within each account

What You Have

Experience with Account Management or Revenue Cycle Management (medical billing) At least two years of experience in onboarding, implementation, customer success or account management at a SaaS company Excellent verbal and written communication skills The ability to explain complex issues in simple terms and adapt your tone for different users Self starter with high attention to detail Experience navigating complex customer environments Can sort through large volumes of data and drive insights and results Experience using Microsoft Excel Ability to contribute to the building of new processes and systems

Why You’ll Like Working with Athelas

Rockstar 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: 500% growth in 2021 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.