Research Assistant_NUHCS

Working under the directions of the Deputy Executive Director of NUHCS, the purpose of the research cardio-informatics team is to use research data (both clinical and non-clinical) to perform data analytics, using state-of-the-art statistical methodologies, augmented with Machine Learning (ML) and/or Artificial Intelligence (AI), to improve diagnosis, treatment, and prevention of cardiovascular diseases.

As a member of this NUHCS research cardio-informatics team, he/she will liaise with external collaborators to ensure the success of all research initiatives and contribute directly to the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE), platform 1 “Data Science”, a national clinical translational programme aimed at synergising cardiovascular research and technology capabilities across Singapore.

You will be responsible for the following:

1. Assume a coordinating role in managing NUHCS cardiology clinical data extraction and transfer between contributing data sources/repositories and the main platform.
2. Oversee administration of data access and usage, including maintenance of the cardiovascular-related (CV) database. Acquiring and consolidating a list of CV-related clinical, pre-clinical, and biobank information for the database.
3. Perform data analyses when required.
4. Conduct literature searches, analyse data, maintain the trial database, and write research papers for publication in scientific journals.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Requirements:

1. Master’s Degree in any science discipline, preferably related to clinical settings.
2. Ability to work independently and in a team, possess an investigative nature, and have attention to detail.
3. Strong research writing skills with experience in research methods and data analytics. Publishing a research paper as the first author is preferred.
4. Proficient in at least one programming skill mentioned here: Matlab, Python, C++, R, SQL, STATA.
5. Domain knowledge in healthcare data is required.
6. Experience working in healthcare and/or wet laboratory settings would be very advantageous.