Sales Engineer – Genomics

Job not on LinkedIn

🔥 9 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Sales Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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X, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

💳 Fintech

💸 Finance

Fintech • Finance

X, LLC is an early-stage venture firm that leads and syndicates seed and other early rounds, dedicating capital and hands-on expertise to a concentrated portfolio of companies. The firm’s website emphasizes "FINTECH FORWARD," notes multiple portfolio exits, and lists partners (Hannah C. and Abhi T. ) plus an LP portal—indicating a fund and limited partner structure focused on fintech investments.

📋 Description

• Lead structured technical discovery sessions with bioinformaticians, genomics scientists, clinical data teams, and IT/infrastructure stakeholders • Uncover pipeline bottlenecks, data storage costs, scalability limits, reproducibility challenges, and compliance requirements • Map WGS, WES, RNA-seq, single-cell, long-read, and clinical variant interpretation workflows to platform capabilities • Build trusted advisor relationships with technical and scientific buyer personas • Deliver tailored, workflow-specific platform demonstrations • Design and execute proof-of-concept evaluations, including scope, success criteria, technical execution, and results presentation • Build custom demo environments using real or synthetic genomics datasets • Manage 4–8 week PoC timelines and drive technical win or structured no-go decisions • Own technical responses to RFIs, RFPs, and security questionnaires • Address data sovereignty, AWS/GCP/Azure architecture, pipeline portability, FAIR data principles, and audit trail requirements • Present platform architecture to CTO, CISO, and Head of Bioinformatics stakeholders • Translate customer technical requirements into structured Product feature requests • Partner with Customer Success on technical handoffs and onboarding alignment • Collaborate with Marketing on white papers, solution briefs, conference demos, and webinars • Mentor junior presales and sales engineers • Maintain demo assets, PoC playbooks, and objection-handling guides • Represent TriNetX at industry conferences and scientific symposia • Track competitors and maintain competitive battlecards • Contribute to technical blog posts, case studies, and documentation

🎯 Requirements

• BSc minimum in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative life-science discipline • 5+ years in a technical presales, solutions engineering, field application scientist, or senior bioinformatics consultant role, ideally within a life sciences software, cloud genomics, or NGS tools company • Hands-on experience with NGS data analysis, including variant calling, RNA-seq, somatic mutation analysis, structural variant detection, or single-cell pipelines • Practical familiarity with Nextflow, Snakemake, or WDL/Cromwell • Knowledge of pipeline portability, reproducibility, and container strategies using Docker/Singularity • Exceptional written and verbal communication • Ability to command a room of PhDs, navigate CTO conversations, and write concise technical proposals • Experience with a structured B2B enterprise sales process such as MEDDIC/MEDDPICC or equivalent • Ability to qualify opportunities, manage stakeholder maps, and drive evaluations to close • Experience in clinical genomics environments, GxP, CAP/CLIA, or CE-IVD compliance contexts preferred • Familiarity with clinical variant interpretation platforms, oncology genomics reporting, or pharmacogenomics pipelines preferred • Experience with multi-omics integration preferred • Exposure to federated data architectures, data mesh concepts, or secure research environments preferred • Prior involvement in commercial negotiations, procurement processes, or enterprise contract structures preferred • Track record of contributing to open-source bioinformatics tools, scientific publications, or conference presentations preferred • Must be authorized to work in the U.S. as verified through E-Verify

🏖️ Benefits

• Equal Opportunity Employer • E-Verify participation