Bioinformatics Research Fellow in Epidemiology

6 days ago


Hong Kong, Central and Western District, Hong Kong SAR China Laboratory of Data Discovery for Health Limited (D²4H) Full time
Role Summary

We are seeking a talented Data Scientist in Infectious Disease Modelling to join our team at the Laboratory of Data Discovery for Health Limited (D²4H). As a key member of our research group, you will work on developing and applying advanced data analytics techniques to improve public health outcomes. Your primary responsibility will be to design, implement, and deploy mathematical and statistical models and systems for real-world applications in the healthcare domain. In addition to your technical expertise, you will also be expected to communicate complex ideas effectively to both technical and non-technical stakeholders.

**Key Responsibilities:**
* Design and implement machine learning techniques, including deep learning, neural networks, and statistical/mathematical modeling;
* Integrate data from various sources, including genomics, immunology, epidemiology, and/or public health;
* Work with clinical data, including preprocessing, handling unstructured text data, and extracting meaningful information;
* Present complex technical concepts to both technical and non-technical stakeholders.

**Requirements:**
* Ph.D. (and/or Master's) degree in Bioinformatics, Computational Biology, Statistics, Systems Biology, Infectious Disease Modelling, or related disciplines;
* Proficiency in programming/scripting languages, such as Python, R, MATLAB, Java, C++/C, along with experience in relevant libraries and frameworks;
* Understanding of basic principles of genetics, cell biology, virology, immunology, epidemiology, and/or public health;
* Publication records in notable conferences and impactful medical or interdisciplinary journals;
* Experience in machine learning techniques, including deep learning, neural networks, and statistical/mathematical modeling.

**What We Offer:**
* Highly competitive salary commensurate with qualifications and experience;
* Annual leave and medical benefits.

**How to Apply:**
Please click 'Apply Now' and attach an application letter and detailed resume stating your current and expected salary.

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