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.

Healthcare providers go into medicine to care for people, but end up losing valuable time each day to admin work and other workplace challenges. Time that could otherwise be spent helping patients. And patients end up suffering as a result. At Commure, we build solutions that simplify providers' lives and keep them connected to their patients so they can focus on doing what matters most: providing care. 

Our innovative suite of software and hardware – augmented by advanced LLM AI, RTLS, and healthcare workflow automations – boosts efficiency across every domain of healthcare, freeing up healthcare providers to spend more of their time caring for patients. Our growing suite of technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation and intake, provider copilots, patient engagement and communication, home health, remote patient monitoring, and more.

Today, we support over 250,000 clinicians across hundreds of care sites around the country. And we’re only just getting started: Healthcare’s watershed moment for AI-powered transformation is here – so join us in creating the technology to power healthcare!

About the Role

As a Senior Python Developer, you'll be critical in designing, developing, and supporting the server-side logic for our innovative healthcare AI applications. You'll be instrumental in building scalable, robust, and reliable systems that empower healthcare providers to deliver better patient care.

You’ll thrive in our collaborative team environment where your innovative ideas are valued, and you’re challenged to create elegant solutions for complex problems. You will participate actively in the design and development of new features, as well as contribute to the ongoing evolution of our architecture. You'll quickly grasp complex concepts and leverage your extensive experience to identify areas for improvement and drive impactful change.

What You’ll Do

• Design and Develop : Build and maintain scalable, cloud-based healthcare AI applications using Python.

• Architect Solutions : Design robust, performant, and maintainable system architectures, focusing on cloud application best practices.

• Collaborate : Work closely with product managers, designers, and other engineers to translate requirements into effective solutions.

• Optimize Performance : Proactively identify and address performance bottlenecks, ensuring high application availability and efficiency.

• Innovate : Contribute to the development of cutting-edge features leveraging the power of AI and machine learning.

• Code Review : Participate in code reviews, fostering knowledge sharing and best practices across the team.

• Maintain Quality : Write thorough tests and documentation to ensure code quality and maintainability.

What You Have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience

• 2+ years of professional software development experience with a focus on server-side development.

• Deep expertise in Python programming, including experience designing and implementing highly optimized and scalable architectures.

• Proven experience in developing and deploying cloud-based applications (e.g., AWS, Azure, GCP).

• Solid understanding of RESTful API design principles and experience building and consuming REST APIs.

• Strong experience with databases, especially NoSQL databases like MongoDB (Cosmos DB) and/or RDBMS (PostgreSQL).

• Working knowledge of containers (e.g., Docker) and orchestration tools (e.g., Kubernetes).

• Experience with CI/CD pipelines and automated testing frameworks.

• Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.

• Bonus points for: Experience in the healthcare domain; familiarity with AI/ML concepts and frameworks; Java/J2EE experience

Why you’ll love working at Commure + Athelas:

• Highly Driven Team: We work hard and fast for exceptional results, knowing we’re doing mission-driven work to transform the country’s largest sector. 

• Strong Backing : We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. 

• Incredible Growth : Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. We’ve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. 

• Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction.

Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.

Please be aware that all official communication from us will come exclusively from email addresses ending in @ getathelas.com, @ commure.com or @ augmedix.com. Any emails from other domains are not affiliated with our organization.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

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.