Database Coordinator (Dept of SPRinT) (Contract)

Singapore General Hospital; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Singapore General Hospital seeks a Data Analyst to join the Department of Sarcoma Peritoneal Rare Tumours. You will collaborate with researchers and clinicians on health system innovations and surgical technologies research to improve patient outcomes.

The role involves building data pipelines, performing analyses, ensuring data quality, and presenting insights to stakeholders, including developing AI plans and preparing conference-ready reports.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or related field.
• Advanced proficiency in Python, R, and Java.
• Experience with SQL database design.
• Knowledge of AI/ML frameworks, libraries, data modelling and software architecture.
• Familiarity with healthcare data governance and regulation is a plus.
• Experience handling structured and non-structured image data.

Responsibilities

• Design and create a data pipeline meeting project requirements and ensure ongoing functionality.
• Gather data from multiple sources and organize it for analysis.
• Apply statistical techniques to generate insights from data.
• Ensure data quality through validation and cleaning.
• Apply data science/machine learning methods to analyze large datasets.
• Perform descriptive analysis to support initial data exploration.
• Summarize and present EDA results to stakeholders.
• Develop/Build a technical AI development plan including ML, NLP, generative AI, DL models.
• Produce analysis reports and presentations communicating findings and recommendations.
• Create data visualizations to effectively convey insights.
• Prepare slides and posters for local and international conferences.
• Support PI with other duties as directed.

Skills

Python

R

Java

AI/ML frameworks

SQL

Healthcare data governance

Data analysis

Team collaboration

Problem solving

Data visualization

Education

Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Soft Engineering or related field

Tools

SQL database design

Job description

In the Department of Sarcoma Peritoneal Rare Tumours, we are looking for an enthusiastic, dynamic, meticulous, and responsible Data Analyst to work closely with a team of experienced researchers and the clinical team in health system, services innovation, and novel surgical technologies research. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for patients undergoing major surgery.

Your key responsibilities include:

• Design and create a data pipeline that meets the pre-specified needs and requirements of projects and maintains its proper function.

• Gathering data from various sources and organizing it for analysis

• Performing statistical and data analysis techniques to generate insights from the data

• Data quality control - Ensuring accuracy and completeness of data through data validation and cleaning

• Apply data science/machine learning methods to analyse large datasets

• Performing descriptive analysis to facilitate initial data investigation

• Summarising and presenting exploratory data analysis results to stakeholders

• Developing/Building a technical AI development plan based on the research question (include machine learning, natural language processing, generative AI, deep learning models)

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendation

• Data Visualization: Creating visual representations of data to effectively communicate insights

• Preparation of presentation slides and posters for submission to local and international conferences

• Performs other duties as directed by PI

Job requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, and Information Systems, Soft Engineering or any related computational disciplines or equivalent.

• Advanced proficiency in Python, R, Java code writing

• Hands-on experience with SQL database design

• Extensive knowledge of AI/machine learning frameworks, libraries, data structures, data modelling, and software architecture.

• Familiarity with healthcare database management systems and processes as well as healthcare data governance policies and regulation will be an advantage.

• Experience in handling/processing/manipulation/analytics, ideally of both structured and non-structured image based data

• An analytical problem solver: Strong analytical and problem-solving skills, and ability to work with incomplete or imperfect data.

• An effective team player: to collaborate with members of inter-professional functions, effectively contribute and be adaptive within multidisciplinary teams

• Passion to contribute and develop a career in the healthcare analytics and health services research arena.

• Passionate about clinical and health service research to bring about positive impact to patients with advanced cancers.