Singapore General Hospital Pte Ltd
Senior Data Analyst / Data Analyst, Department of Data Science, SGH
Job Category:
Administration
Posting Date:
18-Mar-2023
Job Description
You will be responsible for the design, development and implementation of analytical models, as well as the interpretation and presentation of statistical outcomes to support projects designed to improve patient outcomes. You will work with healthcare providers to address their challenges through the use of data and appropriate techniques in Data Science, Optimisation and Artificial Intelligence. You will ensure that the solutions benefit and are adopted by users through meticulous framing/scoping of business problem, validation, execution and deployment. You will collaborate with stakeholders to build data analytics capabilities around clinical services, conduct feasibility studies and lead research projects as required, and facilitate regular key meetings and reporting to management. Most of all, you enjoy working with data to extract insights, and want to contribute to improving healthcare for patients.
Job Requirements Bachelor’s Degree in Computer Science, Mathematics, Physics, Statistics, Operations Research, Engineering or related quantitative disciplines. Master’s Degree or PhD would be an advantage.
Preferably 1-3 (Analyst), 3-5 (Senior Analyst II) years of hands-on experience in data science and machine learning.
Curiosity and willingness to learn about medicine and healthcare practices are essential.
A strong understanding of the mathematical and statistical foundations of machine learning.
Expertise in Python and functional programming. Familiarity with R, Julia or Scala would be advantageous.
Expertise in several of the following skill clusters:
Data retrieval – knowledge of SQL, REST and GraphQL APIs
Data wrangling – expertise with pandas or similar
Data visualization and dashboards – expertise with plotly or similar
Classical machine learning – expertise with scikit-learn or similar
Deep learning – expertise with TensorFlow and/or PyTorch
Distributed computing – knowledge of HDFS and Spark or similar
Strong problem-solving and quantitative computational ability, and strong written and oral communication skills
Ability to work independently as well as in a team in a fast-paced environment.
Prior experience in a healthcare setting would be an advantage but is not required – e.g. knowledge of ICD-10, HL7/FHIR, working with Electronic Health Records (EHR)
You will be responsible for the design, development and implementation of analytical models, as well as the interpretation and presentation of statistical outcomes to support projects designed to improve patient outcomes. You will work with healthcare providers to address their challenges through the use of data and appropriate techniques in Data Science, Optimisation and Artificial Intelligence. You will ensure that the solutions benefit and are adopted by users through meticulous framing/scoping of business problem, validation, execution and deployment. You will collaborate with stakeholders to build data analytics capabilities around clinical services, conduct feasibility studies and lead research projects as required, and facilitate regular key meetings and reporting to management. Most of all, you enjoy working with data to extract insights, and want to contribute to improving healthcare for patients.
Job Requirements
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