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Healthcare & Medical 🏢 Full Time ⭐️ Terverifikasi

Research Assistant/Associate, Health Data Science [LKCMedicine]

Nanyang Technological University
Singapore
Estimasi Gaji
SGD 4.500 – SGD 7.500
Live Update
9 Mei 2026
Batas Akhir
9 Mei 2027

Deskripsi Pekerjaan

Are you passionate about leveraging big data to solve critical challenges in public health? The Lee Kong Chian School of Medicine (LKCMedicine) at Nanyang Technological University (NTU) is seeking a motivated Research Assistant/Associate in Health Data Science to join our high-impact, cross-disciplinary team. This role focuses on innovative infectious disease modelling, where you will contribute to cutting-edge research that informs clinical decision-making and public health policy.

You will work alongside renowned scientists and clinicians in a dynamic, collaborative environment. We are looking for an individual who is not only technically proficient in data manipulation and statistical modelling but also eager to translate complex findings into actionable medical insights. This position offers an unparalleled opportunity to advance your career in health informatics while contributing to the global fight against emerging infectious diseases.

Tanggung Jawab

  • Develop and maintain robust data pipelines for large-scale health datasets.
  • Perform advanced infectious disease modelling and statistical analysis to track disease transmission.
  • Collaborate with interdisciplinary researchers to design and execute high-quality medical research projects.
  • Translate research findings into comprehensive reports, visualizations, and peer-reviewed journal publications.
  • Ensure high standards of data integrity, security, and privacy compliance in alignment with institutional policies.
  • Assist in the preparation of research grant proposals and project progress updates.
  • Participate in regular lab meetings to discuss methodologies, findings, and innovation strategies.

Kualifikasi

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
  • Proven experience in statistical software such as R, Python, or MATLAB.
  • Strong background in infectious disease modelling, epidemiology, or health informatics.
  • Proficiency in database management (SQL) and cloud computing platforms.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively both independently and as part of a global research team.
  • A track record of publication in recognized journals is a significant advantage.

Keahlian yang Dibutuhkan

Health Data Science Infectious Disease Modelling R Python SQL Statistical Analysis Public Health Bioinformatics Data Visualization Epidemiology

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