At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the right patient at the right time, every time. We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions.
Bluesight is looking for a Data Scientist to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight’s data culture and help us innovate within our suite of Medication Intelligence products.
Representative Duties
Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management
Define and track KPIs to measure model performance and business impact
Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses.
Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings.
Inform product roadmaps, evaluate technical feasibility, and assess project risks.
Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements
Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions.
Required Qualifications:
Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field
Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI)
A willingness to leverage genAI tools to assist with rapid experimentation
Understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context
Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild
Strong knowledge of Git workflows and version control best practices
Understanding of SQL
Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences
Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders
Preferred Qualifications:
Master’s degree or PhD in math and/or statistics centric field of study
Experience on a data team of a similar size (<5)
Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization)
Experience with infrastructure as code using Terraform to manage cloud resources
Experience with MLOps including deployment using MLFlow and containerization with Docker, CI/CD Pipelines, and monitoring