Overview
Healthcare Data Scientist Jobs in United States at Divurgent
Title: Healthcare Data Scientist
Company: Divurgent
Location: United States
75% Remote/25% Onsite
Contract to Hire Preferred
Covid Vaccine & Booster Required
Supporting East Coast Working Hours
No 3rd parties. No C2C.
The Digital Technology Services (DTS) Senior Data Scientist will join a collaborative team of extremely talented Engineers, Data Scientists, Analysts, and Managers. This role requires strong expertise in applying artificial intelligence algorithms and solutions to healthcare problems to enable clinicians, researchers, and other end-users within the organization to perform their work more efficiently. The role requires using AI, machine learning, data mining, and information retrieval expertise to design, prototype, build, and deploy next generation advanced analytics engines and services. In this role there is a strong emphasis on using the agile development methodology to rapidly iterate and deploy impactful solutions within the healthcare organization.
Essential Job Functions:
Work with stakeholders to document and understand their objectives and ideate how AIML solutions might achieve those objectives
Perform exploratory data analysis to understand the data available related to a particular business objective and if that data lends itself to the creation of an AI/ML solution that might achieve that business objective
Build AI/ML models that attempt to address a business objective given the data available; explore the model space to understand the optimal model for the particular use case and what the performance characteristics are
Create repeatable, interpretable, and scalable models that can be seamlessly incorporated into analytic data products
Engineer features by using business acumen to find new ways to combine data sources
Write production-quality pipeline code used to load data, execute the AI/ML model, and store the results
Perform analyses of AI/ML models and systems, such as: fairness, bias, and equity audits; performance analyses; impact assessments; and interpretability reports
Develop and commit Python code in such a way that it works in harmony with the code and systems being developed by the team’s data engineers, software engineers, and data analysts
Education, Knowledge, Skills and Abilities Required:
Bachelor’s degree
5+ years of experience working in a data science role
5+ years of data analysis experience within a healthcare setting
Writing complex queries in SQL
Python expertise
Machine Learning expertise
Expertise in merging and transforming datasets
Experience with Big Data technologies (e.g., BigQuery)
ML model deployment, monitoring, and maintenance/retraining
Experience with BI tools (e.g., Looker)
Experience with Git and GitHub
Attention to detail, critical thinking, desire to learn, and intellectually curious
Ability to work with technical and non-technical stakeholders
Translation of complex technical concepts
Agile work process
Excellent written and verbal communication skills
Proficient computer skills including but not limited to Ubuntu Linux and Google Suite platforms
Education, Knowledge, Skills and Abilities Preferred:
Master’s / PhD
Minimum 6+ years of experience working in data science role
Minimum of 4+ years of data analysis experience within a healthcare setting
Proficiency in Epic Clarity clinical data models
Experience with Google Cloud Platform (Big Query, VertexAI, etc)
Experience in Computer Science, Software Engineering, Statistics fields
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