The AIDD lab
Team members
Han Lianyi
Senior Principle Investigator
Lianyi Han, recognized as Dr. Leo, is an internationally renowned expert in the field of bioinformatics, and will be a senior researcher at the Guangdong-Hong Kong-Macao Greater Bay Area Precision Medicine Research Institute (Guangzhou) from 2022, and a double-appointed senior researcher at the School of Life Sciences, Fudan University. He served as a former senior scientist of the US National Institutes of Health, Chief scientist of Tencent US Medical AI Laboratory, Tencent Principle Researcher, and the technical director of the first artificial intelligence chronic disease management platform for heart failure patients in China (a cooperation with Novartis and Tencent). In the field of bioinformatics and computer aided drug design, he has published 70+ SCI-indexed articles and filed 16 U.S. patents in the field of AI medical care. He is thoroughly experienced in the field of chronic disease management with medical AI. In his 20 years of experience on scientific research in biocomputing and AIDD, he uses AI/statistical learning/deep learning to solve bioinformatics, chemoinformatics, multimodal medical informatics, as well as research on real-world evidence and digital biomarkers. At present, the total number of citations on Dr. Leo's work reaches above 11,000 times, with an H-index of 35.

Digital Health Scientist Position Overview

The AIDD lab of Greater Bay Area Institute of Precision Medicine (Guangzhou) is hiring a Research Scientist in NLP/CV/Machine Learning – Knowledge Graph, to research, design, implement, and optimize novel algorithms/models that lead to novel or improved systems. You will be working with top scientists and doctors to create innovative AI solutions to support knowledge discovery, decision-making, clinical support, and attainment of optimal patient outcomes.

What you will be doing:

* Development of novel algorithms and working prototypes / demos based on Natural Language Processing (NLP) and Deep Learning / Machine Learning techniques

* Create solutions related (but not limited) to information extraction, automated question answering, and reasoning using structured / unstructured clinical data and biomedical literature, and other sources

* Stay abreast on the existing literature to align, compare and contrast with the state-of-the-art techniques and algorithms

* Prepare manuscripts for top quality AI / Machine Learning / NLP / Healthcare conferences and journals

* Seize opportunities to apply for internal and external research grants

* Working closely with universities, scientific institutions, academic organizations and governmental resources in the capacity of collaborative relationships as needed

We’d like you to have:

* Ph.D. in Computer Science or related fields

* Expertise in Artificial Intelligence (Deep Learning, Machine Learning, Natural Language Processing)

* Experience in Knowledge Graph, Information Extraction

* Proficiency in Python or Java/C++ programming languages

* Experience in Database (SQL, NoSQL, etc.)

* Experience in working under Unix/Linux environments

* Experience with deep learning tools and frameworks (e.g. Keras, TensorFlow, Torch, PyTorch, Theano, Caffe etc.)

* Familiar with clinical NLP along with medical terminologies and ontologies (e.g. ICD 10) and data standards (e.g., FHIR, HL7, DICOM) is a strong preference

* Experience in working with multi-modal and multi-source clinical data is a strong plus

* Strong track record of scientific publications and presentations in top-tier scientific conferences

* Proficiency in software engineering and architecture is a strong plus

* Ability to bridge communication gaps between clinical practice and computer science along with an understanding of patient care workflow in a variety of clinical settings is a strong plus

* Ability to work within a team environment, and should be a quick learner and self-motivated with the ability to plan and execute

* Ability to communicate effectively, both written and verbal