Applications are invited for appointment as Post-doctoral Fellow in infectious disease modelling and bioinformatics in the School of Public Health (Ref.: 526396), to commence as soon as possible on a two-year temporary-term basis, with the possibility of renewal subject to satisfactory performance.
Duties and Responsibilities:
- Lead a project to integrate data from various sources, including clinical surveillance, viral/bacterial genomics, serological data and deep mutational scanning data.
- Predict the viral/bacterial evolution and development of immune escape.
The appointee is expected to possess or demonstrate the following skills, qualifications, and experience:
Skills and Qualifications:
- A Ph.D. degree in Bioinformatics, Computational Biology, Statistics, Systems Biology, Infectious Disease Modelling, or a related field.
- Proficiency in at least one programming/scripting language (e.g., Python, R, MATLAB, Java, C++/C), along with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch) and environments (e.g., Ubuntu). Familiarity with the Linux system is desirable but not required.
- Understanding of the basic principles of genetics, cell biology, virology, immunology, epidemiology and/or public health as most projects involve interdisciplinary research and close interactions with local and international collaborators.
- Publication records in notable conferences and impactful medical or interdisciplinary journals (as first or senior author within the past 3-5 years).
- Experience in machine learning techniques, including deep learning, neural networks, and statistical/mathematical modelling, with a focus on applying these techniques to clinical and epidemiological data.
- Familiarity with clinical terminologies, Electronic Health Records (EHRs), and healthcare data standards is preferred.
Experience:
- In-depth knowledge and proven track record of successfully designing, implementing, and deploying mathematical and statistical models and systems for real-world applications in the healthcare domain.
- Integrating data from various sources, including genomics, immunology, epidemiology and/or public health.
- Working with clinical data, especially Electronic Health Record (EHR) data, including pre-processing, handling unstructured text data, structured records, and extracting meaningful information from clinical notes, discharge summaries, and other sources.
- Excellent interpersonal and communication skills (written and verbal), with the ability to present complex technical concepts to both technical and non-technical stakeholders.
- Collaborate effectively with multidisciplinary teams, including clinicians, data scientists, software engineers, and healthcare stakeholders, to understand requirements and translate them into technical solutions.
Enquiries about the duties of the post should be sent to Professor Kathy Leung at ksmleung@hku.hk or Dr Horace Choi at hcchoi@hku.hk. Information about the School can be obtained at http://sph.hku.hk.
What We Offer:
A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries.
How to Apply:
The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start on May 6, 2024 and continue until July 22, 2024, or until the post is filled, whichever is earlier.
