Field Applications Scientist - Bioinformatics - Northeast at Oxford Nanopore Technologies | NY, US | Rezi

Field Applications Scientist - Bioinformatics - Northeast at Oxford Nanopore Technologies

Field Applications Scientist - Bioinformatics - Northeast

Oxford Nanopore Technologies · NY, US

Today

Field Applications Scientist - Bioinformatics - Northeast

Oxford Nanopore Technologies · NY, US

2 hours ago
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About the Role

Partner closely with our Sales team and customers to provide pre- and post-sales technical expertise across our sequencing platforms and software. Help researchers design experiments, analyze data, and achieve successful outcomes while strengthening long-term relationships.

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 experience (e.g., whole-genome and transcriptome).
  • Long-read sequencing experience is a plus.
  • 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.
  • 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.

Skills

  • Genetics
  • Genomics
  • Molecular Biology
  • Cell Biology
  • Bioinformatics
  • NGS datasets
  • Genome assembly/annotation
  • Variant calling
  • Structural variants
  • Transcriptomics
  • Phylogenetics
  • Python
  • R
  • Perl
  • UNIX
  • AWS
  • High performance compute clusters

Location

  • Northeast region
  • New England
  • NY
  • NJ
  • PA

Work Type

  • Field-based
  • Frequent local customer visits
  • Occasional overnight travel

Experience Level

  • Prior field applications/technical support experience
  • Hands-on experimental design and genomic data analysis experience

Education Level

  • PhD in Life Sciences
  • Equivalent experience in a commercial, customer-facing scientific role

Salary/Compensations

  • $97,479 - $121,849

Benefits

  • Eligible for annual bonus
  • Eligible for stock awards
  • Healthcare benefits
  • Company 401(k) plan with company match
  • Short-term disability coverage
  • Long-term disability coverage
  • Basic life insurance
  • Commuter benefits

About the Company

  • Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere.
  • The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis.
  • The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins.
  • The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments.
  • With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.

Equal Opportunity

  • No terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation.
  • Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.