ActiveJobs
Thermo Fisher

Field Bioinformatics Scientist

Thermo Fisher · Remote, Taiwan

Full-timeRemotePosted 12 November 2026
Continue to Thermo Fisher's application →

Applications are made on Thermo Fisher's own site. We never sit in the middle.

Job description

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description How Will You Make Impact? At Thermo Fisher Scientific, the world leader in serving science, you'll be part of a global team dedicated to meaningful work that makes a lasting impact. Guided by our Mission to enable our customers to make the world healthier, cleaner and safer, we work together to advance scientific discovery, drive innovation and address some of the world's most pressing challenges. From accelerating life sciences research and developing life-changing therapies to protecting the environment and ensuring food safety, our work empowers customers to push the boundaries of what's possible. Join us in taking science a step beyond and making a meaningful difference in the world. DESCRIPTION As a Field Bioinformatics Scientist (FBS) at Thermo Fisher Scientific, you'll combine scientific expertise, bioinformatics knowledge and customer engagement to support customers using our Microarray and Next-Generation Sequencing (NGS) products and services. Based in Taipei, Taiwan, you'll work closely with customers across the region, providing technical and scientific support while partnering with the Sales team to strengthen existing relationships and develop new opportunities. Day to day, you'll engage with customers to understand their research goals, recommend appropriate bioinformatics solutions and workflows, and help them address complex data analysis and application challenges. You'll provide scientific consultation, technical presentations, product demonstrations and training, translating complex genomic data and technologies into practical insights that help customers move their research forward. You'll also collaborate closely with Sales and cross-functional teams, bringing scientific expertise into customer discussions and supporting opportunities from technical evaluation through implementation and ongoing adoption. By understanding customer needs and emerging research trends, you'll help identify new opportunities, strengthen long-term partnerships and contribute to business growth. Success in this role requires scientific curiosity, strong problem-solving skills and the ability to communicate complex concepts clearly to different audiences. You'll thrive in a dynamic, customer-focused environment where you can work independently while collaborating with colleagues to solve challenging scientific problems and support advances in Microarray and NGS applications. REQUIREMENTS Master's degree or above in Bioinformatics, Computational Biology, Genomics, Genetics, Biostatistics, or a related field. Hands-on experience with Microarray-based genotyping and GWAS workflows, including data QC, analysis, and interpretation. 2+ years of hands-on bioinformatics experience analyzing genomic or other large-scale biological datasets. Proficiency in Python and/or R for data analysis, visualization, and scripting. Working knowledge of Linux/Unix environments and command-line tools, with experience working in Linux-based bioinformatics environments. Solid understanding of genomics, genetics, and statistical methods relevant to biological data analysis. Strong analytical and problem-solving skills, with hands-on experience in data QC, troubleshooting, and interpretation of complex biological datasets. Strong English communication and presentation skills, with the ability to explain complex scientific and technical concepts clearly to different audiences. Ability to work effectively in a customer-facing environment and collaborate with Sales and cross-functional teams. Ability to independently investigate unfamiliar technical issues and quickly learn new technologies, software, and bioinformatics workflows. Experience with NGS data analysis, particularly in oncology, reproductive health, or related applications, is beneficial. Experience with Microarray analysis tools and platforms, such as Chromosome Analysis Suite (ChAS), Transcriptome Analysis Console (TAC), and Axiom™, is a plus.

Other jobs you might want

Browse all jobs on ActiveJobs →