Machine Learning Researcher - CODAMETRIX
Boston, MA 02116
About the Job
CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models.
We are passionate about getting doctors away from the keyboard and back to clinical care.
Position Overview
The Machine Learning Researcher will join our Fundamental Research team and report to our Chief Data Scientist. The Fundamental Research team is responsible for inventing, developing, and deploying AI-driven solutions using healthcare data to improve administrative and clinical functions in delivering care.
Responsibilities:
- Design and implement creative solutions for a broad range of NLP problems in the healthcare domain
- Train and tune large language models for best trade-offs for the application
- Characterize performance of solutions for adequate speed and scale
- Incorporate an expansive set of unit tests to provide reasonable test coverage and protection from regression
- Collaborate with engineering and production teams for incorporating NLP capabilities into the product
- Document solutions clearly and work with the QA team to ensure proper testing
- Function within an agile scrum team, embracing all tenets of scrum
Requirements:
- PhD in Computer Science, Electrical Engineering, Mathematics, or related fields
- Familiarity with state-of-the-art NLP techniques including large language models
- Strong technical credentials in NLP, machine learning and deep learning including a track record of publications in relevant conferences and high impact journals
- Solid fundamentals in problem solving, algorithm design, complexity analysis, mathematics and statistics
- Proficiency in a major programming language (Python, Java, Scala or similar)
- Superior verbal and written communication and presentation skills
Beneficial Experience:
- Familiarity and hands-on experience with healthcare data is a plus
- Hands-on experience with cloud-based computing solutions such as AWS is a plus
What CodaMetrix can offer you:
Learn more about our full-time employee benefits and how we take care of our team.
- Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance
- Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day
- Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate
- Learning: All new hires complete our 7-week Onboarding Program where they learn about our company and each of our departments through live sessions hosted by a variety of our leaders
- Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like
- Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers
- Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston
- Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance
Background Check Notice
All candidates will be required to complete a background check upon acceptance of a job offer.
Equal Employment Opportunity
Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.
Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.
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