Uni Internship May to Oct 2025 - Population Segmentation for Targeted Health Interventions

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 

Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.

 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

The healthcare landscape is increasingly shifting towards personalized approaches to improve outcomes and optimize resources. Understanding the diverse needs of a population is key to designing interventions that are both effective and efficient. This project focuses on population segmentation, a technique that categorizes individuals into meaningful groups based on clinical and lifestyle data. By leveraging machine learning, statistical learning, or deep learning techniques, we aim to uncover patterns and subgroups within the population. These insights will inform targeted health interventions, improving care delivery and outcomes. This project provides an opportunity for the candidate to contribute to innovative, data-driven solutions in healthcare.

The intern will engage in the following areas of work:

• Data Collection and Preprocessing: Collaborate with stakeholders to gather relevant clinical and lifestyle datasets. Clean, preprocess, and analyze the data to ensure readiness for modeling.
• Algorithm Development: Use machine learning, statistical learning, or deep learning techniques to identify meaningful population segments. Compare different methodologies to determine the most effective approach.
• Insights Generation: Analyze the characteristics of each segment to understand their unique health needs and risk profiles.
• Visualization and Reporting: Create visual and written reports to communicate findings to both technical and non-technical stakeholders.
• Implementation Support: Provide recommendations for integrating segmentation insights into practical health interventions.

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Science, Computer Engineering, Electrical and Electronic Engineering, Information Systems or related discipline

• Graduating in Dec 2025 or May/Dec 2026

• Strong Python and R programming with knowledge in statistical and/or machine learning

• Knowledge in PySpark or Sparklyr is a huge plus.

• Ability to adapt to a constantly evolving environment and work effectively as part of a multidisciplinary team

• Possess strong communications skills with stakeholders

• Passionate and keen to make a difference to re-imagine the future of HealthTech

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