Senior Assistant Manager (Dept of Data Science)

Overview*

We are living in a time of unprecedented technological advancements, and the Department of Data Science and Analytics at Alexandra Hospital is at the forefront of leveraging these technologies to redefine how healthcare services are offered. As one of the oldest hospitals in Singapore, Alexandra Hospital is undergoing massive campus redevelopment and piloting new models of care that are powered by cutting-edge data analytics and AI technologies.

As a member of our team, you will work on some of the most challenging and fascinating problems in healthcare, leveraging the latest Generative AI techniques and coding tools. We foster a culture of innovation, constantly pushing the boundaries of what is possible with data analytics and AI. We apply advanced techniques such as machine learning, simulation, modelling, forecasting, scheduling, optimization, and more to our vast datasets, in order to improve our service metrics and ultimately serve our patients better. You will also receive training in the world’s leading EMR system, Epic, to gain deep understanding of its data modelling and data structure.

If you have a passion for using data, technology, and trust to solve problems and drive innovation in healthcare, we invite you to join our team and make a difference in the lives of patients and the healthcare industry as a whole.

Job Responsibilities*

• Explore and extract insights from massive healthcare dataset, to power a new care model that can make our care delivery seamless, precise and in fairness to each patient
• Utilize historical cluster and national-level data to support future Integrated General Hospital planning and forecasting, enabling more effective planning and service allocation.
• Facilitate the regulatory reporting work through report automation.
• Leverage Generative AI to analyse and understand complex healthcare data.
• Use data to support decision-making around service expansion, care delivery, patient retention/churn, and other business goals.
• Build, validate, test, and deploy machine learning or other data science models to predict and influence the behaviour of patients and providers with the goal of optimizing system efficiency.
• Work independently or in a team to solve complex problem statements.
• Interface with business & operation teams to formulate solutions and influence changes informed by your findings.

Requirements*

• Bachelors’ Degree or Masters’ Degree in Mathematics, Operation Research/Management, Computer Science/Engineering, Industrial Engineering, Business Analytics, Physics or other quantitative disciplines.
• Proficiency with data science and analytics tools such as SQL, Python, Excel, or Tableau is essential, as they are core to your work.
• Strong coding skills will be a significant advantage.
• Applicants with a minimum of 2 years of practical experience in data-related work are preferred, although fresh graduates who possess the required aptitude are also encouraged to apply.
• A strong background in advanced statistical methods and concepts is mandatory. (regression, properties of distributions, statistical tests and proper usage, etc.)
• Prior knowledge of cloud computing AWS/Azure will be added advantage
• Ability to work with multi-disciplinary healthcare teams, collaborative, accommodative and supportive to contribute to the shared vision and common goal.
• Prior experience in health services is added advantage, but not a must.