Field Bioinformatics Scientist

Thermo Fisher Scientific
Location
Remote, Taiwan
Job Type
Full-time
Posted
November 13, 2026

Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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.

Frequently Asked Questions

Where is this job located, and is it remote or on-site?
The position is listed as Remote, Taiwan. The description states the role is based in Taipei, Taiwan, working closely with customers across the region. The work schedule is standard Monday to Friday, in an office environment.
What qualifications and experience do I need?
You need a Master's degree or above in Bioinformatics, Computational Biology, Genomics, Genetics, Biostatistics, or a related field. You also need 2+ years of hands-on bioinformatics experience with genomic or large-scale biological datasets, and hands-on experience with Microarray-based genotyping and GWAS workflows, including QC, analysis, and interpretation.
What technical skills are required or preferred?
Required skills are proficiency in Python and/or R, working knowledge of Linux/Unix and command-line tools, and strong English communication and presentation skills. NGS analysis experience is beneficial, especially in oncology or reproductive health. Experience with ChAS, TAC, or Axiom™ is a plus.
What will my main responsibilities be?
You will support customers using Microarray and NGS products. This includes understanding their research goals, recommending bioinformatics solutions and workflows, and solving data analysis challenges. You will also deliver scientific consultations, presentations, product demonstrations, and training, and support opportunities from technical evaluation through implementation.
Who will I work with on a daily basis?
You will collaborate closely with the Sales team and cross-functional teams. You will bring scientific expertise into customer discussions and help strengthen existing relationships and develop new opportunities. The role also calls for working independently.

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Job Information

Source: manual
AI Relevance: 88/100 (Highly relevant)
Remote Type: hybrid
Skills & Tags:
thermo fisher scientific bioinformatics computational biology genomics GWAS biostatistics oncology

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