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Data Scientist

2 weeks ago

Central Region, Singapore Adya Health Pte Ltd. Full time $104,000 - $130,878 per year

About Adya Health:

Adya Health addresses the critical therapy adherence challenge through TARA, an AI-powered platform that significantly boosts adoption and retention rates for high-value therapies. Built through co-development with leading healthcare institutions, TARA leverages clinical pathways with a proven 30-year track record to deliver measurable patient outcomes, including improved therapy adoption, enhanced long-term persistence, and reduced discontinuation rates. The platform utilizes proprietary AI models to build user personas and deliver hyper-personalized engagement strategies, making complex therapeutic protocols accessible and sustainable for patients and caregivers.

We're seeking a mid-level Data Scientist to drive data-driven insights and build ML solutions that directly optimize patient outcomes and therapy adherence metrics.

Key Responsibilities:

  • Analyze complex healthcare and patient engagement data to extract insights that drive product and clinical decision-making.
  • Build, validate, and deploy machine learning models to support cancer care resiliency pathways.
  • Collaborate with product managers, designers, and clinical experts to transform data into meaningful patient-centered experiences.
  • Develop robust data pipelines and workflows, ensuring data integrity, scalability, and accessibility.
  • Apply statistical methods and advanced analytics to evaluate intervention effectiveness and patient outcomes.
  • Stay current with emerging techniques in data science, machine learning, and AI, and bring innovative approaches to the team.
  • Communicate findings clearly to technical and non-technical stakeholders through compelling visualizations and reports.

Skills Required:

  • Minimum 2 years of experience as a Data Scientist, Machine Learning Engineer, or in a related role.
  • Strong proficiency in Python or R, with experience in libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Hands-on experience with data wrangling, statistical modeling, and predictive analytics.
  • Familiarity with healthcare datasets or experience working in healthtech/clinical settings is a strong plus.
  • Proficiency in SQL and experience with big data technologies (Spark, Hadoop, etc.) is desirable.
  • Strong problem-solving skills and the ability to translate data into actionable insights.
  • Excellent communication and collaboration skills, suited to an interdisciplinary environment.
  • A passion for using data and AI to make a meaningful impact in the field of cancer care.