Senior Software Engineer, AI and Data Technology
Omada Health- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, or a related field, and have at least five years of experience in data science, with a strong focus on machine learning and predictive analytics. Proficiency in programming languages such as Python, R, and SQL is essential, along with experience utilizing machine learning libraries and frameworks like TensorFlow, Scikit-learn, and PyTorch. Familiarity with big data platforms like Hadoop and Spark, and experience with cloud computing environments like AWS or GCP is also required.
The Senior Artificial Intelligence Engineer 2 will be responsible for developing and implementing machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization, conducting data mining and exploration to uncover trends and patterns, building predictive models to anticipate patient needs and streamline operations, and engaging in research and development to stay current with advancements in data science and healthcare analytics, ultimately driving innovation and improvement within ModMed’s AI offerings.
Specialty-specific electronic health record systems
Modernizing Medicine provides specialty-specific Electronic Health Records (EHR) systems designed to improve the workflow of healthcare providers. Their main products, EMA and gGastro EHR, help users manage patient information and administrative tasks more efficiently, allowing them to concentrate on patient care. These systems adapt to the specific practices of each user, enhancing their effectiveness. Unlike many competitors, Modernizing Medicine focuses on tailored solutions for various medical specialties, which sets them apart in the healthcare technology market. The company's goal is to streamline healthcare delivery and improve patient outcomes by providing tools that simplify administrative processes.