Senior Computational Biologist

Senior Computational Biologist

Department: Data Science, PIRC

Reports to: Director of AI in Drug Development

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 ideal candidate will leverage deep expertise in computational biology, deep learning, and data‑driven drug discovery to develop state‑of‑the‑art solutions.

This role involves close, cross‑functional collaboration with Immunology, Translational Science, and Biologics teams to build sophisticated algorithms and predictive models that drive our pipeline.

Pharma Essentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in hematology and oncology, with one approved product and a diversifying pipeline. Founded in 2003, we are listed on the Taipei Exchange (TPEx: 6446) and expanding our global presence with operations in the U.S., Japan, China and Korea, and a world‑class biologics production facility in Taichung.

This role will be in the Pharma Essentia Innovation Research Center (PIRC), the U.S. R&D center. As PIRC operates in startup mode with the full backing of Pharma Essentia HQ, it is an exciting time to develop and grow PIRC from the ground floor up.

• 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, accelerating 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

• Ph.D. in Bioinformatics, Computational Biology, Computer Science or a relevant quantitative discipline
• At least 3‑years’ work experience combining bioinformatics/computational biology analysis and cutting‑edge computational approaches (including ML/AI) for project support in a cross‑functional biotech or pharma setting
• Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and scRNA‑Seq are must; spatial omics and imaging are plus)
• Proficiency in Python and R, familiarity with database management
• A strong understanding of drug discovery and development, including target identification, lead optimization, translational research, and early clinical development
• Experience in therapeutic areas relevant to oncology and immunology
• Working knowledge of traditional machine‑learning algorithms, deep‑learning frameworks and LLM, and their applications in drug discovery

At Pharma Essentia Innovation Research Center (PIRC), we are committed to providing an environment of mutual respect where equal…