About the role
AI summarisedThe Senior Data Scientist in Genomics/Bioinformatics will apply AI/ML and computational biology to automate and scale PCR-based assay design for qPCR and digital PCR. They will build end-to-end computational pipelines, drive innovation using large language models and ML frameworks, and collaborate across global interdisciplinary teams to advance assay development in oncology, infectious disease, and beyond.
Life SciencesOnsite
Key Responsibilities
- Apply computational biology and AI/ML to automate and scale PCR-based assay design for real-time qPCR and digital PCR
- Digitize and automate assay development by building end-to-end robust computational solutions and pipelines that replace manual processes with efficient, reproducible, and scalable workflows
- Drive continuous innovation of bioinformatics tools and pipelines by applying large language models and machine learning frameworks to biological data, pioneering new ways
Requirements
- MS degree with 3+ years of experience or PhD in bioinformatics, computational biology, computer science, or related field
- Deep expertise in molecular biology and genomic-based assay technologies
- Proficiency in building computational pipelines and workflow automation
- Hands-on experience in applying AI/ML models, including LLMs, to biological data
- Proficiency in standard bioinformatics tools and modern ML frameworks
- Strong communicator who thrives both independently and as part of a global, interdisciplinary team
- Passion for advancing the role of AI in biology to make a measurable impact on human health