Field Applications Scientist - Bioinformatics - Northeast

About the role

Oxford Nanopore Technologies Ltd. is seeking a Field Applications Scientist, Bioinformatics to partner closely with the Sales team and customers, providing pre‑ and post‑sales technical expertise across sequencing platforms and software. This field‑based role supports customers across the Northeast region; candidates should reside within New England, NY, NJ, or PA to enable frequent customer engagement and regional travel. The position involves frequent local customer visits and occasional overnight travel (up to ~40%), with possible technical support for adjacent territories as business needs require.

Responsibilities

• Partner with Sales to deliver high‑quality technical consultations across the sales cycle; provide back‑up technical support to adjacent territories.
• Deliver technical presentations, seminars, trainings, and on‑site engagements at key accounts and scientific conferences.
• Guide customers on experimental design, software usage, analysis workflows, and best practices for ONT technologies.
• Manage key customer relationships from a technical perspective to ensure successful adoption and outcomes.
• Document and track customer interactions, inquiries, and actions in the CRM.
• Monitor competitive technologies and market trends; share actionable insights with commercial and product teams.

Requirements

• PhD in Life Sciences (or equivalent experience in a commercial, customer‑facing scientific role).
• Prior field applications/technical support experience; hands‑on experimental design and genomic data analysis (e.g., whole‑genome and transcriptome). Long‑read sequencing experience is a plus.

Qualifications

• Strong foundation in genetics, genomics, molecular biology, cell biology, bioinformatics or related disciplines.
• Background working with large NGS datasets and pipelines such as genome assembly/annotation, variant calling, structural variants, transcriptomics, or phylogenetics.

Skills

• Proficiency in one or more of Python, R, Perl; comfortable in UNIX environments.
• Experience in cloud computing platforms such as AWS.
• Proven experience in high performance compute clusters.

Pay

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