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You will be updated with latest job alerts via emailJoin us as we work to create a thriving ecosystem that delivers accessible high-quality and sustainable healthcare for all.
We are looking for a Lead Machine Learning Engineer to join the Data Science team with the division. You will be responsible for the end-to-end development and deployment of machine learning models across a variety of healthcare products and domains develop roadmaps for development and implementation of data science initiatives and work collaboratively to influence product and engineering stakeholders.
About you:
You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working with colleagues from a variety of technical and non-technical backgrounds. Finally you have a strong interest in improving healthcare.
About the team
The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies.
Job Responsibilities
As a leader of the Data Science team you are expected to stay abreast and evaluate the latest in data science technologies and determine how to incorporate these into our data science best practices .
Integrate with and broadly support the data science team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness
Contribute to the training and development of junior staff members
Develop and follow conventions and best practices for modeling coding architecture and statistics; hold other team members accountable for doing so
Contribute to the development of internal tools and data science team standards
Work collaboratively across the Infrastructure Platform UX and Product organizations to ensure alignment towards business goals
Typical Qualifications:
Advanced degree (PHD MS) in relevant field. For example but not limited to: math computer science computer science data science
5 years of professional experience designing building training deploying and evaluating machine learning models in production software environments at scale
Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus
Experience with training & fine tuning LLMs & GenAI models is a bonus.
Experience collaborating with cross functional teams or leading cross functional efforts
Proficiency with python strongly preferred
Have strong NLP skills or computer vision experience
AWS experience strongly preferred
About athenahealth
Our vision: In an industry that becomes more complex by the day we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients powered by our vision to create a thriving ecosystem that delivers accessible high-quality and sustainable healthcare for all.
Our company culture: Our talentedemployees or athenistas as we call ourselves spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge expertise backgrounds and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness accountability and support.
Our DEI commitment: Our vision of accessible high-quality and sustainable healthcare for all requires addressing the inequities that stand in the way. Thats one reason we prioritize diversity equity and inclusion in every aspect of our business from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas our partners customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits athenistas enjoy perks specific to each location including commuter support employee assistance programs tuition assistance employee resource groups and collaborativeworkspaces some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision we recognize that not all work needs to be done within an office environmentfull-time. With consistent communication and digital collaboration tools athenahealthenablesemployees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks we sponsor events throughout the year including book clubs external speakers and hackathons. We provide athenistas with a company culture based on learning the support of an engaged team and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here:
Staff IC
Full-Time