Data Analyst (Dept of Sarcoma Peritoneal Rare Tumours) (Contract)

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 recommendations

• 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.