Field Bioinformatics Scientist

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.