Our healthcare system is under tremendous pressure as we face an unprecedented global pandemic, ever rising costs, and a lack of capacity and access to quality care. These challenging circumstances have emphasized the need for innovative care delivery models that go beyond the traditional methods of caring for patients. We should no longer accept the fact that millions of people do not have access to proper care and visit Emergency Departments because they have no alternatives. The poor patient experience, the sub-optimal care, and the estimated $8.3B spent on unnecessary ED visits each year, make it extremely clear that something needs to be done. instED was founded to help solve these very problems. We strive to eliminate unnecessary and avoidable visits to Emergency Departments and the inpatient hospital admissions that often follow, by offering quality urgent care services in the comfort of the patient’s home.
Requirements
- Extensive experience conducting analysis for Value Based Care Management models.
- Expertise with Python (numpy, pandas, sklearn, nltk…)
- Strong understanding of statistical techniques like descriptive statistics, inferential statistics, regression analysis, time series analysis, and probability distributions to analyze risk data and validate models
- Experience and excellent understanding of machine learning modeling techniques and algorithms for tasks like risk prediction, fraud detection, and credit scoring. Familiarity with different algorithms (e.g., decision trees, neural networks) and their applications in risk management is crucial
- Expertise with relational databases and SQL
- Expertise with data visualization and tools
- Experience with data exploration, data wrangling and feature engineering
Responsibilities
- Contribute to the creation of analytics platforms and data products that will drive core business processes and be used by analysts across the organization
- Analyze performance of existing risk based contracts to identify areas of improvement
- Evaluate clinical and claims information shared by prospects to identify patient population and services for value based contracts
- Support ongoing deployment of predictive models which help instED identify ER and in-patient utilization patterns as well as service needs of high-risk patient populations
- Conduct directed analysis and translated complex information into actionable insights to help clinical/business leadership make better, data driven decisions
- Maintain a current knowledge of emerging tools and techniques in machine learning, natural language processing, database systems, visualization, statistical modeling, data extraction/manipulation and so on
- Be an expert and keep expanding knowledge in urgent care, health insurance and non-traditional care delivery models
Other
- This position is available to remote employees residing in Massachusetts. Applicants residing in other states will not be considered at this time.
- Be organized and flexible
- Take initiative to own projects
- Be able to work with interdisciplinary teams
- Be able to explain technical concepts/results to non-technical audiences
