Field Application Scientist, Pathway & NGS Analysis Software
New
J
JobgetherBioinformatics software
Based in the United StatesFull-Time
SalaryEstimated annual range of $100,000–$124,000
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Job Details
Requirements
- PhD or equivalent experience in biology, molecular biology, bioinformatics, genetics, or a related discipline.
- Relevant laboratory experience and a strong background in biological data interpretation.
- Expertise or demonstrated experience in gene expression analysis, sequence variant interpretation, microbial data analysis, or related computational biology applications.
- Experience with next-generation sequencing workflows, including single-cell RNA sequencing, RNA-seq, DNA-seq, or related analytical pipelines.
- Willingness to travel approximately 30–60% of the time for customer visits, workshops, and events.
- Ability to work independently from a home office and collaborate with geographically distributed teams.
- Familiarity with Ingenuity Pathway Analysis (IPA), OmicSoft, and CLC Genomics Workbench is an advantage.
- Knowledge of GEO, TCGA, SRA, and GTEx is desirable.
- Postdoctoral research experience is an advantage; Field Application Scientist or similar customer-facing scientific experience is highly desirable.
- Strong presentation and public-speaking abilities, and ability to explain computational concepts and analytical methods to audiences with varying technical expertise.
Responsibilities
- Develop expert-level knowledge of pathway analysis, genomics, and multi-omics data analysis software.
- Identify customer research objectives and challenges and translate them into software applications and analytical workflows.
- Deliver customized scientific demonstrations, presentations, workshops, and case studies.
- Analyze customer-provided or publicly available datasets to develop examples and demonstrate software capabilities.
- Train and support customers through onboarding, product tutorials, and scientific training seminars.
- Gather customer feedback and communicate product requirements to marketing, engineering, and research and development teams.
- Partner with sales teams on technical relationships, pre-sales activities, customer acquisition, and retention.
- Support marketing initiatives, scientific conferences, and industry events with presentations and demonstrations.
- Manage multiple projects and customer engagements while meeting deadlines.
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