Research Officer/Associate (Ref: NHCS/RO/RA/AA)

National Heart Centre Singapore

Singapore

On-site

SGD 60,000 - 100,000

Full time

7 days ago
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Job summary

National Heart Centre Singapore is seeking a Research Professional with expertise in data science and healthcare analytics, focusing on cardiovascular research, statistical modelling, and AI. You will join the data science research team, reporting to the Principal Investigator, and collaborate with local and global partners to advance data-driven cardiovascular research.

You will lead and support projects, apply machine learning, deep learning, and NLP to healthcare data, develop data pipelines

Qualifications

  • Bachelor's/Master's degree in Biostatistics, Applied Statistics, or Epidemiology preferred; CS/Data Science considered.
  • Experience with study design and conventional statistical models.
  • Good understanding of ML, DL, and NLP concepts and algorithms.
  • Proficiency in Python and R.
  • Knowledge of SQL preferred.
  • Vaccination documentation required for healthcare workers; commitment to vaccination before work start if not already done.

Responsibilities

  • Progress research projects under your care with expertise in ML/DL/NLP applications to healthcare data.
  • Support development, integration, and analysis of large-scale healthcare datasets via SingCLOUD/HEALIX platform.
  • Lead and supervise junior researchers and collaborate with IT to enhance data pipelines.
  • Engage in research collaborations with partners to identify data-driven opportunities.

Skills

Python
R
Machine learning
Deep learning
NLP
SQL

Education

Bachelor's / Master's in Biostatistics or Epidemiology

Tools

HEALIX platform
SingCLOUD

Job description

We are seeking a Research Professional with expertise in data science and healthcare analytics, and a strong interest in cardiovascular research, statistical modelling, and Artificial Intelligence (AI). You will be part of the data science research team at the National Heart Research Institute Singapore (NHRIS), National Heart Centre of Singapore (NHCS), reporting to the Principal Investigator. The team collaborates with local and global research institutions and multiple industry partners to advance data-driven cardiovascular research through innovative analytical approaches.

You are responsible for the progress of research projects under your care and are expected to demonstrate research expertise and capability in areas such as machine learning, deep learning, and natural language processing applied to healthcare data. You will support the development, integration, and analysis of large-scale healthcare datasets through the national HEALIX platform on SingCLOUD, including data mining, processing, quality assurance, and documentation. Additionally, you will assist the Principal Investigator in leading and supervising junior researchers, collaborate with IT administrators to enhance data pipelines, and be actively involved in research collaborations with partners to identify data-driven research opportunities. The selected candidate will be offered employment on two-year renewable contractual terms.

Requirements:
  • Bachelor's/ Master's degree in Biostatistics, Applied Statistics, or Epidemiology is preferred. Coursework in Computer Science, Data Science, Biology, or a related quantitative field will also be considered.
  • Experience with study design and conventional statistical models
  • Good understanding of machine learning, deep learning, and/or NLP concepts and algorithms
  • Proficiency in Python and R programming languages
  • Knowledge of SQL is preferred
  • Documented proof of: (i)Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and (ii)Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act.
    Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.
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