Data Scientist for Preventive Healthcare

7 days ago

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

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

Job Overview

We are seeking a highly skilled Senior Data Scientist to join our dynamic team in shaping the future of healthcare using AI, machine learning, and data analysis.

Estimated Salary: $120,000 - $180,000 per annum

This role offers an exciting opportunity to improve population health, reduce healthcare costs, and champion proactive approaches to healthcare.

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.
    • Develop predictive models to identify patterns, trends, and insights for proactive health interventions.
  • Feature Engineering and Model Development:
    • Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
    • Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.
  • Productization and Code Transfer:
    • Follow through toward productization by deploying models into scalable, production-ready solutions.
    • Implement data pipelines and automation processes for efficient data processing and extraction.
  • Documentation and Reporting:
    • Document research, experiments, modelling techniques, and methodologies followed in projects.
    • Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.
  • 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.
    • Effectively communicate complex findings and insights to both technical and non-technical stakeholders.
  • Continuous Improvement and Innovation:
    • Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.
Requirements:
  • 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.
  • Experience with wearable device data, signal, and noise processing will be preferred.
  • Keen interest in Chronic disease prevention, Population health management, and Digital health interventions.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Natural tenacity, resilience, and determination.
What We Offer:
  • Fun working environment.
  • Employee Wellness Program.

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