Senior Scientist, Bioinformatics (Genomics)

Location: Westbrook, Maine, United States

Salary: Starting at $110,000 annually, based on experience; annual cash bonus opportunity.

Company

Develops diagnostic products and biological reagents for companion animal health, veterinary care, water safety, and livestock and poultry disease protection.

What you will do

• Perform end-to-end analysis of bulk and single-cell NGS data, including experiment design, quality control, secondary and tertiary analysis, and biological interpretation.
• Develop and apply workflows for third-generation long-read data from Oxford Nanopore and/or PacBio platforms.
• Design, build, maintain, and support reproducible, scalable bioinformatics pipelines in cloud environments.
• Evaluate and benchmark sequencing technologies, algorithms, and tools, and recommend adoption practices.
• Collaborate with wet-lab scientists on experimental design, sequencing strategy, and statistical power considerations.
• Integrate genomic, transcriptomic, and epigenomic datasets; communicate findings through reports, visualizations, presentations, publications, and patents.

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Biostatistics, Computer Science, or a related field.
• Hands-on expertise in NGS data analysis and hands-on experience analyzing third-generation long-read sequencing data from Oxford Nanopore and/or PacBio.
• Strong programming skills in Python and/or R, with proficiency in Linux/Unix and shell scripting.
• Strong foundations in statistics, molecular biology, and genomics.
• A record of scientific contribution demonstrated through peer-reviewed publications, patents, or delivered projects.
• Excellent communication skills and the ability to work collaboratively in a cross-functional team.

Nice to have

• Experience building reproducible pipelines with Nextflow or Snakemake and working in HPC or AWS, GCP, or Azure cloud environments.
• Experience with liquid biopsy, MRD, cancer early detection, ctDNA analysis, or related applications.
• Experience with bulk, single-cell, or spatial transcriptomics for de novo isoform discovery, pathway analysis, metagenomics, microbial genomics, or veterinary and comparative genomics.
• Familiarity with hybrid assembly approaches combining short- and long-read data.
• Experience applying AI and machine learning methods to genomic data.
• Experience working with canine or feline genomes.
• Experience with Git, CI/CD, and software engineering best practices.

Culture & Benefits

• Health, dental, and vision benefits from day one.
• 5% 401(k) matching and an employee stock program.
• Financial support, pet insurance, mental health resources, paid volunteer days, and foundation donation matching.
• Work focused on companion animal health, scientific discovery, and diagnostic innovation.
• Collaborative global workforce with opportunities for learning and discovery.