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Solutions Engineer

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Solutions Engineer

Domino Data Lab

Solutions Engineer

Skills

PythonData ScienceRData AnalysisMachine LearningAI

2 months ago

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Important information


Location:

United States

Work mode:

Remote

Published on:

4 September 2026

What they need


Who you are

  • A technical background — from life sciences or from a general tech/solutions environment. You've either worked inside a pharma, biotech, CRO, genomics, or medical device organization doing code-first analytical or scientific work, or you've built and supported technical solutions at a general technology or software company. Either way, you understand what it actually feels like to build and run real systems for real users, and you can translate that experience credibly in front of technical and scientific stakeholders alike
  • Working knowledge of at least one life sciences domain — drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management. Credible in front of scientific stakeholders without needing to be a domain expert
  • Platform or tooling ownership experience — ideally you’ve built, operated, or meaningfully contributed to an internal platform or shared scientific computing environment. You’ve influenced or helped shape how that platform served its users, even without a formal product owner title
  • Experience in a solutions engineering, pre-sales, or customer-facing technical role — or equivalent internal/consulting work where the job was diagnosing technical problems and helping others solve them, not just executing defined tasks
  • You’ve led or contributed to technical evaluations, pilots, or proof-of-concepts — whether at a vendor, internally, or as a consultant — that drove meaningful adoption or investment decisions
  • Demonstrated ability to build: you’ve written production or near-production code to solve a real scientific or operational problem. Experience creating internal tools, pipelines, or applications for scientific teams is a strong signal
  • Proficiency in Python and/or R; hands-on experience with the data science and ML tools used in life sciences technical work. Familiarity with how models get built, validated, and moved toward production in a regulated context is a plus

What the job involves

  • We help F100 Life Sciences organizations envision the full potential of our platform, guiding them from discovery to realization. Our Solutions Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer deployments
  • Engage deeply with the technical problems customers are trying to solve — taking the time to genuinely understand their workflows, constraints, and frustrations before proposing anything. The goal is always to find the best solution for the customer, not to fit them to a predetermined answer
  • Design and run hands-on proof-of-concept projects tailored to each customer's environment: model development for drug discovery, clinical analytics pipelines, regulatory submission workflows, omics data processing, and similar use cases
  • Work with account executives to design architectures that address life sciences-specific requirements around data governance, reproducibility, and validation (e.g., 21 CFR Part 11, GxP environments)
  • Proactively identify novel use cases within life sciences customers where Domino could create meaningful value — drawing on industry knowledge to surface opportunities that customers may not have considered and that go beyond the initial scope of an engagement
  • Build and maintain reusable technical environments and assets that make future customer engagements faster and more substantive
  • Partner with Customer Success and Solutions Architects to make sure customers who complete a POC are set up to succeed in production
  • Build custom prototypes and applications on top of Domino for customers — using AI-assisted coding tools to move quickly — to demonstrate value in ways that go beyond standard demos. This reflects our directional shift toward Forward Deploy Engineering as a growing part of field work over the next 12 months
  • Success is most visible when customers come away from technical engagements with a clear understanding of how Domino solves their problems — and when those engagements convert to production deployments

Benefits

  • Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
  • Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
  • Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
  • Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
  • Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
  • Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location

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