Data Scientist II

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.

Job Description

At CodaMetrix, the machine learning and AI team is responsible for the invention, analysis, and deployment of new machine learning and AI-driven solutions using healthcare data to improve administrative and clinical medicine.

We are looking for a highly talented individual to join our machine learning team and focus on innovating and developing novel statistical / machine learning solutions for healthcare problems. As a Machine Learning Data Scientist, you can take advantage of our unique Amazon Web Services-based machine learning infrastructure, as well as large labeled clinical datasets to develop your ideas in the form of proof of concepts, and furthermore, translate them to product features with the help of our highly experienced team of engineers. The Machine Learning Data Scientist will report to the Chief Data Scientist. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility.

Responsibilities

• Innovate, implement, and test machine learning and deep learning techniques at scale.

• Analyze the quality and calibration of predictive models.

• Collaborate with machine learning and engineering team members for deployment of new machine learning techniques, and follow deployments tracking issues and successes.

• Interface with medical coders, administrators, radiologists, and physicians to understand the strengths and weaknesses of existing products and to help develop new machine learning-empowered products.

Requirements

• Ph.D. in Computer Science, Mathematics, Statistics, or related field or M.S. with a minimum of two years of related work experience in ML and AI

• Hands on experience with the state-of-the-art machine learning techniques, and understanding of the analysis and testing processes of machine learning techniques

• Familiarity with deep learning approaches such as CNN, RNN, and LSTM

• Proficiency in Python and Jupyter notebooks

• Demonstrated end-to-end project leadership

• Strong verbal, visual, and written communication skills

Beneficial Experience

• Demonstrable experience with state-of-the-art Natural Language Processing techniques such as transformers and Large Language Models

• Publications in major ML/NLP conferences, and/or participation in Kaggle or similar competitions

• Knowledge of U.S. healthcare systems

• Experience with common Amazon Web Services (AWS) products such as EC2, SageMaker, and Lambda

• Experience with DataBricks