Cohere Health is looking to improve patient-specific care options using AI and clinical expertise, and this role will contribute to that by analyzing large datasets to uncover drivers, impacts, and key influences for their healthcare product, leadership, and clinical teams.
Requirements
- Applying retrieval and relational extraction techniques to unstructured clinical notes and other patient health history documentation.
- Querying and reasoning over structured healthcare claims data.
- Leveraging AWS services to enable robust systems and processes across the ML lifecycle, including experimentation, training, evaluation, deployment, and monitoring.
- Leveraging Python, PyTorch, and HuggingFace for NLP tasks in healthcare.
- Leading small engineering teams to understand business problems, form falsifiable hypotheses, and apply robust experimentation to determine technical direction.
Responsibilities
- Deploy machine learning algorithms to uncover drivers, impacts and key influences to support our healthcare product, leadership and clinical teams by applying optimization and statistical methods on large data sets.
- Design and implement solutions to address complex business questions using statistical methods, machine learning, or other analytical methods as needed.
- Apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, create intuitive simulations, data visualizations, and business narratives.
- Work closely with process and design engineers, business intelligence engineers, data engineers, and technical product managers to obtain relevant datasets.
- Use gathered data sets to oversee and create models, develop and oversee scalable and reusable codebases for scalable data solutions.
- Review, communicate, and present data solutions results to business leaders and various stakeholders.
- Contribute to and supervise performance tracking; identify improvement opportunities among junior engineers; design and implement robust testing systems to align ML output to business outcomes.
Other
- Master’s degree in Data Science, Computational Linguistics, Machine Learning, or closely related quantitative field and three (3) years of professional machine learning or data science experience driving process automation in a healthcare setting using language models.
- This position is remote and can be performed from any location within the United States.
- People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles.
- We believe that diverse, inclusive teams make the most impactful work.
- Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
