Data Scientist for Preventive Health Models

6 days ago


Singapore ACTXA PTE. LTD. Full time

About Us

Actxa Pte Ltd is a pioneering deep tech company in Singapore, leveraging artificial intelligence to revolutionize preventive healthcare solutions.

We are affiliated with Activate Interactive Pte Ltd and share a common goal of improving population health through evidence-based insights.

The Role

We are seeking an experienced Data Scientist to join our dynamic team in shaping the future of healthcare using AI, ML, and data analysis.

Your primary focus will be on developing predictive models to identify patterns, trends, and insights for proactive health interventions.

Key Responsibilities:

  • Data Collection, Processing and Preprocessing: Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.
  • Data Analysis and Modeling: Utilize advanced statistical techniques, artificial intelligence, and machine learning algorithms to analyze complex datasets.
  • Feature Engineering and Model Development: Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
  • Productization and Code Transfer: Follow through toward productization by deploying models into scalable, production-ready solutions.
  • Documentation and Reporting: Document research, experiments, modelling techniques, and methodologies followed in projects.
  • Collaboration and Communication: Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
  • Continuous Improvement and Innovation: Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What We Offer

A competitive salary of approximately $120,000 - $150,000 per annum, depending on experience.

An exciting opportunity to work with cutting-edge technology and contribute to improving population health.

Ongoing professional development and training to stay up-to-date with industry advancements.

A collaborative and dynamic work environment with opportunities for growth and innovation.

Experience working with cloud-based platforms such as AWS and Ali Cloud.

Proficiency in programming languages Python, R, and SQL.

A strong understanding of biostatistics, epidemiology, and research design.



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