Gene Solutions

Overview of job

• Analysis of biological data, mainly next-generation sequencing
• Perform data analysis to extract meaningful insight and design novel features to be used in classification models.  
• Research and develop state-of-the-art deep learning models for biological data. We strongly focus on Auto Encoder, Large language model, Graph neural networks and their applications in biological data (Bioinformatics).     
• Participate in several big data analysis projects for data mining, model building and algorithm development.  
• Participate in the design and implementation of automated data analysis pipelines.   
• The successful candidate is expected to be proficient in basic Bioinformatics tools and algorithms for next-generation sequencing data after the first 6 months. This training will be part of the annual employee appraisal.

• Minimum a research-oriented Master degree in Information Technology, Applied Mathematics, Statistics or related engineering degree with +1 year of experience (or a Bachelor degree with +3 years of industrial experience).       
• Proven hands-on experience with Deep learning model development, especially Auto encoder, Large language model and Graph neural network. 
• Strong proficiency in Python and its data processing toolkits, especially with big data analysis. 
• Proven hands-on experience with popular model development framework such as Tensorflow and/or PyTorch. 
• Experience with high-performance computing system, UNIX environment, BASH script, GitHub/Gitlab. 
• Excellent communication skills in Vietnamese and English, with the ability to present and explain complex technical concepts and results to non-IT audiences. 

Great if you have: 

• Basic knowledge in bioinformatics techniques for Next Generation Sequencing data or other types of Omics data is a plus. 
• Proficiency in R and its data processing toolkits is a plus. 
• Good knowledge in fundamental statistics such as cross-validation, hypothesis testing, common data distributions, is a plus.