At Holmusk, we leverage data and advanced analytics to accelerate research and improve outcomes in behavioral health and chronic diseases. We focus on harnessing actionable insights from real-world data for pharma, providers and payers.
At Holmusk, we are building the world’s largest Real-World Evidence (RWE) platform for mental health, NeuroBlu (neuroblu.ai), to enable a data-driven approach to healthcare. With NeuroBlu, our goal is to define the blueprint for real-world insights in behavioral health, combining both advanced analytics capabilities and real-world data (RWD). As such, we are building a series of advanced analytics libraries designed for large-scale and complex RWD, allowing insights to be generated quickly and accurately.
The scope of this internship will involve the conceptualisation, development and testing of our in-house statistical libraries for real-world healthcare data analysis using both Python and R-based APIs while leveraging the advantages from both software.
Responsibilities
- Develop rigorous testing framework for NeuroBlu advanced analytics libraries
- Develop and improve API documentation for NeuroBlu advanced analytics libraries
- Develop R interface for Python-based libraries
- Identify rooms for improvement on NeuroBlu advanced analytics libraries
- Work with the Data Science team to develop models for other data analytics and AI projects for healthcare clients
Requirements
- Currently enrolled in a Singapore university, or Singaporean/PR studying abroad
- Major in Mathematics, Statistics, Physics, Computer Science, Quantitative Biology or any other related discipline
- Coding experience in R and Python
- Ability to work as a team
- Highly motivated and fast learner
- Available for part-time (at least 16 hours per week) or full-time internship
At Holmusk, we take pride in our diverse workforce and inclusive culture. We believe it takes all kinds of people to build the best products and bring real change to the healthcare space.
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- Company:
Holmusk - Designation:
Data Science Intern - Profession:
Engineering - Industry:
Computer and IT - Location:
Queenstown