Senior Scientist, Bioinformatics

The Genomics group in Discovery Tech Futures, R&D, is seeking a highly motivated Senior Scientist, Bioinformatics to join a fast-paced discovery team working at the intersection of molecular biology and diagnosis. In this role, you will be responsible for the development, validation, implementation and support of next-generation sequencing (NGS) bioinformatics pipelines and analytical. You will partner closely with laboratory scientists, R&D teams, and data engineers to turn complex genomic and transcriptomic data into actionable insights that advance our products and research programs.

Why this role matters

At IDEXX, developing high-quality biological reagents is foundational to advancing companion animal health diagnostics. The Genomics team is the critical bridge between biomarker discovery and assay development. As a Senior Scientist, you will bring advanced expertise to identifying novel targets from raw sequencing data, shape the technical direction of the NGS pipeline, and contribute directly to new diagnostic tools for the veterinarians and pet owners we serve.

We value scientific curiosity, rigor, and ethnical breadth, and this role offers the opportunity to lead complex problems through genomics pipeline development, analytical evaluation, and functional  this role, you will:

Perform end-to-end analysis of bulk and single-cell NGS data, including experiment design, quality control, secondary/tertiary analysis, and biological interpretation.

Develop and apply workflows for TGS (long-read) data from Oxford Nanopore and/or Pac Bio platforms.

Design, build, and maintain reproducible, scalable pipelines in cloud environments.

Evaluate and benchmark new sequencing technologies, algorithms, and tools, and recommend best practices for adoption.

Collaborate with wet-lab scientists on experimental design, sequencing strategy, and statistical power considerations.

Integrate multi-omics datasets (e.g., transcriptomic, genomic, epigenomic) to generate biological insights.

Communicate results clearly through reports, visualizations, and presentations to technical and non-technical stakeholders.

Contribute to publications, patents, and external presentations as appropriate.

Stay current on emerging technologies, tools, methodologies, and industry best practices in genomics and bioinformatics.

What you need to succeed:

PhD in Bioinformatics, Computational Biology, Genomics, Biostatistics, Computer Science, or a related field is required.

Demonstrated hands-on expertise in NGS data analysis is required.

Demonstrated hands-on experience analyzing third generation (long-read) sequencing data from Oxford Nanopore and/or Pac Bio is required.

Strong programming skills in Python and/or R, and proficiency in Linux/Unix and shell scripting is required.

Solid foundation in statistics, molecular biology, and genomics is required.

Track record of scientific contribution, demonstrated through peer-reviewed publications, patents, or delivered projects is required.

Excellent communication skills and the ability to work collaboratively in a cross-functional team is required.

Experience building reproducible pipelines with Nextflow or Snakemake and working in HPC or cloud (AWS, GCP, or Azure) environments is desired.

Experience with liquid biopsy, MRD, cancer early detection, ctDNA analysis, or related applications is desired.

Experience with bulk/single cell/spatial transcriptomics for De novo isoform discovery is desired.

Experience with pathway analysis is desired.

Experience with metagenomics, microbial genomics, or veterinary and comparative genomics is desired.

Familiarity with hybrid assembly approaches combining short- and long-read data is desired.

Experience with AI/machine learning methods applied to genomic data is…