Data Scientist for Population Health Management

3 days ago


Singapore ACTXA PTE. LTD. Full time
About Actxa Pte Ltd

Actxa Pte Ltd is a deep tech company headquartered in Singapore, founded in 2015. We leverage artificial intelligence to create next-generation preventive healthcare solutions.

Salary and Benefits

We offer an estimated annual salary of $120,000-$180,000 depending on experience, along with benefits such as employee wellness programs.

Job Description

As a Senior Data Scientist at Actxa, you will contribute to improving the health and well-being of the population by analyzing complex datasets and developing predictive models. Your responsibilities will include:

Data Collection and Analysis
  • Collect, clean, preprocess, and wrangle raw digital health data for analysis and modeling.
  • Utilize advanced statistical techniques and machine learning algorithms to analyze complex datasets.
Model Development and Deployment
  • Develop predictive models to identify patterns, trends, and insights for proactive health interventions.
  • Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.
  • Deploy models into scalable, production-ready solutions.
Collaboration and Communication
  • Collaborate with cross-functional teams to understand business requirements and align data science initiatives with company goals.
  • Effectively communicate complex findings and insights to both technical and non-technical stakeholders.
Required Skills and Qualifications

We are seeking a highly skilled and motivated Data Scientist with:

  • Bachelor or Master degree in Data Science, Biostatistics, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science, or related discipline.
  • 3+ years of experience in data science, healthcare analytics, or preventive medicine.
  • Proficiency in programming languages: Python, R, SQL.
  • Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Good understanding of biostatistics, epidemiology, and research design.
  • Familiarity with cloud-based platforms: AWS & Ali Cloud.
  • Keen interest in chronic disease prevention, population health management, and digital health interventions.

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