Bioinformatics Engineer

Responsibilities

• Oligonucleotide drug design
• Design of small nucleic acid drugs (e.g., siRNA, ASO)
• Use bioinformatics tools and algorithms to analyze gene expression profiles, variations, and splicing isoforms in biological samples for target selection
• Apply machine learning platforms for oligo sequence design
• Read and run Python, R, and Bash scripts
• Optimize and improve existing design algorithms
• Create new design workflows and platforms including design of chemical modifications for oligo drugs
• Actively participate in project discussions and reports
• Off-target analysis
• Understand and apply principles and algorithms for off-target evaluation
• Analyze and interpret high-throughput next-generation sequencing data, including data preprocessing, quality control, alignment analysis, differential expression analysis, and full pathway analysis
• Adjust sequence alignment program parameters to meet the needs of short sequence matching
• Data mining and database construction
• Use bioinformatics resources from public databases (like NCBI, Ensembl, UniProt, etc.) and combine with the company's internal data to build knowledge bases and databases to accelerate oligo drug discovery
• Cross-department collaboration
• Work closely with wet lab drug discovery team including in vitro and in vivo teams, chemistry team, etc.
• Participate in project discussions, support bioinformatics aspects of the projects
• Analyze results and obtain insights to improve the bioinformatics models and workflows

Qualifications

• PhD in bioinformatics, computational biology, molecular biology, genetics, computer science, CADD, or related fields
• More than 5 years of experience in bioinformatics analysis or project experience in small nucleic acid drug development
• Good communication skills and team spirit, able to collaborate effectively with team members from different backgrounds
• Strong learning and problem-solving abilities, able to quickly grasp new knowledge and technologies
• Strong interest in drug development, able to handle work pressure
• Good English writing and communication skills, able to use both English and Chinese as working languages
• Familiar with bioinformatics databases (like NCBI, Ensembl, UniProt, etc.) and data mining methods
• Proficient in bioinformatics analysis tools and software, such as BLAST, Bowtie, SAMtools, DESeq2, Cufflinks, STAR, etc., capable of independently analyzing high-throughput sequencing data
• Strong programming skills, proficient in Python or R, able to develop and optimize bioinformatics analysis pipelines
• Familiar with Linux systems
• Good coding habits, understands version control and how to avoid errors

Additional Preferred Qualifications

• Able to apply machine learning and AI in bioinformatics, with relevant project experience preferred
• Ability to use cloud computing for bioinformatics analysis
• CADD-related software and skills, such as RDkit, Schrodinger, etc.
• Experience and skills in multi-omics analysis
• Additional programming skills like Perl, C, etc.