Solutions Engineer, Life Sciences

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Domino Data Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

Artificial Intelligence • Enterprise • SaaS

Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

📋 Description

• Engage deeply with customers to understand their technical problems, workflows, constraints, and frustrations • Design and run hands-on proof-of-concept projects tailored to customer environments, including drug discovery model development, clinical analytics pipelines, regulatory submission workflows, and omics data processing • Work with account executives to design architectures addressing life sciences requirements for data governance, reproducibility, and validation, including 21 CFR Part 11 and GxP environments • Identify novel use cases within life sciences customers and surface opportunities beyond the initial engagement scope • Build and maintain reusable technical environments and assets for future customer engagements • Partner with Customer Success and Solutions Architects to prepare customers completing POCs for successful production deployment • Build custom prototypes and applications on Domino using AI-assisted coding tools to demonstrate customer value beyond standard demos • Help convert successful technical engagements into production deployments

🎯 Requirements

• A technical background from life sciences or a general technology/solutions environment • Experience in pharma, biotech, CRO, genomics, medical device, technology, or software environments doing code-first analytical, scientific, or technical work • Working knowledge of at least one life sciences domain: drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management • Platform or tooling ownership experience; ideally having built, operated, or meaningfully contributed to an internal platform or shared scientific computing environment • Experience in a solutions engineering, pre-sales, or customer-facing technical role, or equivalent internal/consulting work diagnosing technical problems and helping others solve them • Experience leading or contributing to technical evaluations, pilots, or proof-of-concepts • Production or near-production coding experience solving a real scientific or operational problem • Proficiency in Python and/or R • Hands-on experience with data science and ML tools used in life sciences technical work • Familiarity with how models are built, validated, and moved toward production in a regulated context is a plus

🏖️ Benefits

• Equity • Company bonus or sales commissions/bonuses • 401(k) plan • Medical, dental, and vision benefits • Wellness stipends