Senior Software Engineer – Clinical Foundations

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne. This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices.

About you

You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare.

About the team

The athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies.

Job Responsibilities

As a member of the athenaClinicals Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:

• Identify opportunities for different machine learning techniques and evaluate which are best

• Assist in developing and deploying ML-based production services to our clients

• Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so

• Apply rigorous testing of statistics, models, and code

• Contribute to the development of internal tools and AI team standards

• Advocate for responsible AI—focusing on fairness, transparency, and data privacy

• Actively participate in technical design discussions and propose innovative solutions to complex challenges

• Provide timely and constructive code reviews

• Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation

Typical Qualifications:

• Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field

• 4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models

• Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation

• Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions

• Experience with training & fine tuning LLMs & GenAI models is a bonus

• Familiarity with NLP or computer vision techniques

• Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience

• Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)

• Excellent verbal communication and writing skills

• Passion for staying current with AI research and applying novel techniques responsibly in production

• Understanding of ethics, fairness, and compliance implications of Ai

Expected Compensation

The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates.  Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.

About athenahealth

Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert s