Would you like to work for an innovative healthcare AI company with a profound focus of how to create value for healthcare professionals and their organizations? This growing company’s clinical machine-learning engine, constantly ingests the patient record to generate real-time, highly focused, predictive insights that clinicians and hospital administrators can leverage to dramatically augment the management of care delivery.
Role Overview:
Work with other Data Scientists and collaborate with teams, including both technical and non-technical teams, from different functional areas to solve complex problems.
- Develop statistical and machine learning algorithms, named entity recognition/named entity linking models, inference rules, probabilistic models, simulation models, and visualizations for client pilots and scaled solutions.
- Lead multiple projects in parallel and assist other team members and conduct directed research and development in natural language processing and applied machine learning on healthcare datasets.
- Present results to various audiences as well as mentor junior team members.
Requirements:
- 7+ years hands-on experience in machine learning, statistics, and data analysis
- Master’s Degree or PhD strongly preferred in Computer Science, Statistics, Mathematics, Physics or a related field with a substantial research component and focus on data analysis
- Ability to effectively communicate technical concepts to both technical and non-technical staff members
- Proficiency in ML/Data Science languages and tools including Python (and packages including but not limited to Jupyter notebooks, pandas, numpy, scikit-learn, pytorch) and SQL
- Proficiency in using SQL and noSQL databases, including PostgreSQL, ElasticSearch; NLP tools including spaCY, nltk
- Strong coding, scripting, and software engineering experience and skills
- Familiarity with software development cycles, version control systems (including Git), interacting with RESTful APIs, Mac and Linux platforms, MLOps & ETL Tools
- Experience working in an agile team environment. Understanding of code promotion, code turnover to operations, version control, and QA procedures.
- Worked with big data and distributed/cloud computing technologies such as Apache Airflow, Kafka, Apache Spark, AWS cloud platform.
- Worked with healthcare data, including clinical data formats and workflows
- Experience with LLMs and GenAI applications (Gemini/ChatGPT/Claude)