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!

The Data Analyst will be responsible for overseeing the design, development, and maintenance of data infrastructure, pipelines, and systems. This role involves managing a team of data engineers, collaborating with cross-functional teams, and ensuring the integrity, scalability, and efficiency of data architecture to support business goals and analytical needs. The Data Analyst will play a key role in establishing best practices for data management, driving automation, and ensuring the availability of high-quality data for decision-making.

What You'll Do

Leadership and Team Management

• Lead, mentor, and manage a team of data engineers and operations analysts to deliver high-quality data and dashboard solutions. Upon starting the role, the Senior Manager will be responsible for uniting two separate teams: Data Engineering and Operations Analysts

• Define team goals, set priorities, and manage workloads to meet deadlines and business objectives.

• Provide technical guidance and coaching to team members, fostering a culture of innovation and continuous improvement.

• Conduct regular performance reviews, provide constructive feedback, and support career development.

Data Architecture and Infrastructure

• Design and implement scalable and secure data pipelines to support data acquisition, processing, and storage.

• Develop and maintain data models, warehouses, and lakes to support business intelligence and analytics.

• Ensure data infrastructure meets performance, scalability, and security requirements. This includes quickly coming up to speed on the current complex database architecture and evaluating a potential re-architecture to improve performance.

• Identify and implement best practices for data governance, data quality, and data security.

• Establish data monitoring and alerting systems to ensure data integrity and minimize downtime.

• Build and optimize ETL/ELT processes to transform and load data efficiently.

• Automate data workflows to improve performance and reduce manual effort.

• Implement data cleansing, transformation, and enrichment processes to ensure data consistency and accuracy.

• Introduce machine learning models and algorithms where applicable to enhance data processing and insights generation.

Collaboration and Stakeholder Engagement

• Collaborate with software engineering, product management, and operations teams to integrate data systems with core products.

• Provide data insights and reports to support business decisions and strategic initiatives.

• Act as a liaison between technical and non-technical teams to translate business requirements into data solutions.

What You Have:

• 2-4 years of experience in data science, analytics, consulting, investment banking, or operations at a fast-paced SaaS tech company

• Deep experience in data analysis (both SQL and Excel strongly preferred) - basic open-source SQL assessment will be part of the interview process

• Build data pipelines, analytics infrastructure, and reporting layers to drive operational visibility

• Lead and coordinate remote teams contributing to data/analytics workstreams

• Serve as the primary point of contact for internal analytics needs and tool development

• Collaborate cross-functionally with Product, Engineering, and Ops to translate business needs into technical solutions

• Proficiency in documenting and developing best practices to enable incremental improvement and optimization of operational processes

• Demonstrated drive, intellectual curiosity, attention to detail, and a proven record of success

• Comfort in chaos: You’re comfortable working autonomously to solve problems with ambiguity, can expertly prioritize, and have a knack for identifying internal and external blockers

• Customer obsessed: You’re going to dig until you hit bedrock to solve a problem for the customer, because we need to ensure our clients have the cash they need to pay the doctors and nurses that work on the front lines of healthcare

• Interface with clients (approx. 20% of the time) to explain data insights and support issue resolution

• Proficient in Retool, G-Suite is a plus

• Experience in the Ambient Documentation (AI Scribe) space is a plus

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.