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Field Bioinformatics Scientist

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: thermofisher
Full Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR

Job Description & How to Apply Below

Role overview

Support researchers across a region in applying microarray and next-generation sequencing methods to their work. You'll combine bioinformatics analysis and scientific consultation with customer training, technical presentations, and close collaboration with commercial and technical colleagues.

Responsibilities
  • Discuss research goals with customers and recommend suitable analysis approaches and workflows.
  • Troubleshoot data quality, analysis, and application issues involving genomic datasets.
  • Explain scientific and technical findings through consultations, presentations, demonstrations, and training.
  • Work with commercial and cross-functional teams to support technical evaluations, implementation, and continued use.
  • Identify customer needs and emerging research trends that may inform future opportunities.
Requirements
  • Master's degree or higher in bioinformatics, computational biology, genomics, genetics, biostatistics, or a related field.
  • At least two years of hands-on bioinformatics experience with genomic or other large biological datasets.
  • Practical experience with microarray genotyping and genome-wide association study workflows, including quality control, analysis, and interpretation.
  • Proficiency in Python and/or R, and working knowledge of Linux or Unix command-line environments.
  • Solid grounding in genomics, genetics, and statistics, with strong analytical and troubleshooting skills.
  • Clear English communication and presentation skills, and the ability to work independently with customers and cross-functional teams.
Nice to have
  • Experience analyzing next-generation sequencing data, especially in oncology, reproductive health, or related fields.
  • Familiarity with microarray analysis platforms or tools such as Chromosome Analysis Suite, Transcriptome Analysis Console, or Axiom.
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