Field Applications Scientist - Bioinformatics - NY/NJ

Socket.dev

United States

On-site

USD 97,000 - 122,000

Full time

6 days ago
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Benefits offered by this job

Annual bonus
Stock options
Healthcare benefits
401(k) plan with company match
Disability coverage
Basic life insurance
Commuter benefits

Job summary

Oxford Nanopore Technologies Ltd. is seeking a Field Applications Scientist, Bioinformatics, to partner with our Sales team and customers.

You’ll provide pre- and post-sales technical expertise across sequencing platforms and software, helping researchers design experiments, analyze data, and achieve successful outcomes while strengthening long-term relationships. This field-based role covers customers across New York and New Jersey with travel up to 40%, frequent visits, and occasional

Qualifications

  • PhD in Life Sciences or equivalent with customer-facing experience.
  • Field applications/technical support experience preferred.
  • Hands-on experimental design and genomic data analysis skills.
  • Experience with long-read sequencing is a plus.
  • Strong foundation in genetics, genomics, molecular biology, bioinformatics.

Responsibilities

  • Partner with Sales to provide technical consultations across the sales cycle.
  • Deliver presentations, trainings, and on-site engagements at key accounts and conferences.
  • Guide customers on experimental design, software usage, and analysis workflows.
  • Manage customer relationships from a technical perspective to ensure adoption.
  • Document customer interactions in the CRM and track inquiries and actions.
  • Monitor market trends and share insights with product teams.

Skills

Genomics data analysis
NGS data pipelines
Long-read sequencing
UNIX environments
Python
R
Perl
AWS cloud
High-performance computing

Education

PhD in Life Sciences or equivalent

Tools

Genome assembly tools
Variant calling workflows
RNA-Seq / transcriptomics analysis

Job description

Oxford Nanopore Technologies Ltd. is seeking a Field Applications Scientist, Bioinformatics, to partner closely with our Sales team and customers. You’ll provide pre- and post-sales technical expertise across our sequencing platforms and software—helping researchers design experiments, analyze data, and achieve successful outcomes while strengthening long-term relationships.

This is a field-based role supporting customers across New York and New Jersey. Candidates should reside within the territory, ideally within reasonable proximity to the New York City metropolitan area to support frequent customer engagement and regional travel.

The role requires frequent local customer visits and occasional overnight travel, up to approximately 40%, and may include technical support for adjacent territories as business needs require.

What you’ll do

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.

What you’ll bring
  • Education: PhD in Life Sciences (or equivalent experience in a commercial, customer-facing scientific role).
  • Experience: 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.
  • Domain knowledge: Strong foundation in genetics, genomics, molecular biology, cell biology, bioinformatics or related disciplines.
  • Data & analysis: Background working with large NGS datasets and pipelines such as genome assembly/annotation, variant calling, structural variants, transcriptomics, or phylogenetics.
  • Programming & platforms: 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.
Travel & work style

Field-based role with frequent local customer visits and occasional overnight travel (up to ~40%)

Compensation/Benefits

The salary for this role is between $97,479 and $121,849. The salary offered will reflect the skills and experience of the candidate. Certain roles within ONT are eligible for annual bonus and stock. These awards are allocated based on individual performance. Employees based in the US have the option to choose healthcare benefits, participate in the company 401(k) plan and company match, we also offer short-term and long-term disability coverage, basic life insurance, and commuter benefits to name a few.

Please note that 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.

Oxford Nanopore Technologies: 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.

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