Senior Computational Biologist

Job Description :

• Senior Computational Biologist Department : Data Science, PIRC Reports to : Director of AI in Drug Development Job Summary : We are seeking a highly motivated and skilled Senior Computational Biologist to join our dynamic data science team.

This individual will apply advanced OMICS-oriented analytical methods, statistical modeling, and ML / AI to accelerate discovery and decision-making in support of PIRC’s expanding research programs.

The Company :

Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taipei Exchange (TPEx :

Key Responsibilities Lead multi-omics data analysis across diverse datasets, including genomics, bulk and single-cell transcriptomics, proteomics, metabolomics and pathway analysis, to address critical questions in target identification, prioritization, and translational science Design and implement novel computational modules and frameworks to enable seamless integration and interpretation of multi-omics data, driving insights for R&D Develop and apply machine learning and AI algorithms to uncover patterns and generate predictions from complex biological datasets, and accelerate target discovery and validation efforts Enhance internal cross-disciplinary collaboration with project teams to align computational strategies with project goals and ensure robust biological interpretation of data Establish best practices for data management, quality control, and reproducibility in bioinformatics pipelines, and create intuitive visualizations and detail-oriented reports to communicate findings with stakeholders, enabling data-driven decision-making  Continuously evaluate and adopt cutting-edge computational tools, algorithms and technologies to stay at the forefront of the field and enhance data analysis capabilities Contribute to the strategic planning of computational / AI initiatives, influencing the direction of research programs and technological investments Contribute to scientific publications, conference presentations, showcasing advancements in bioinformatics and AI, and their impact on drug discovery and translational research Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer Science or relevant quantitative discipline At least 3-years work experience in combining bioinformatics / computational biology analysis and cutting-edge computational approaches (including ML / AI) for project support in cross-functional biotech or pharma setting.  Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and scRNASeq are must, spatial omics and image are plus) Proficiency in Python and R, familiarity with database management A strong understanding of the drug discovery and development, including target identification, lead optimization, translational research, and early clinical development Experience in a therapeutic area relevant to oncology and immunology Working knowledge of traditional machine learning algorithms, Deep learning frameworks and LLM, and their applications in drug discovery EEO Statement :

By joining our team, you will not only expand your own possibilities, but you will contribute to expanding options for people with cancer. https :