[Remote] Solutions Engineer, Life Sciences

Note: The job is a remote job and is open to candidates in USA. Dominodatalab is a company that builds software for AI-driven organizations to develop and operate advanced data science solutions.

The Solutions Engineer will engage with customers in the life sciences sector, design proof-of-concept projects, and work closely with technical teams to ensure successful deployments.

Responsibilities 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 answerDesign 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 casesWork 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 engagementBuild and maintain reusable technical environments and assets that make future customer engagements faster and more substantivePartner with Customer Success and Solutions Architects to make sure customers who complete a POC are set up to succeed in productionBuild 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 monthsSuccess 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 Skills A technical background in life sciences — you will have worked inside a pharma, biotech, CRO, genomics, or medical device organization doing code-first analytical or scientific work.

You understand what it actually feels like to build and run things in that environmentWorking 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 expertPlatform 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 titleExperience 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 tasksYou'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 decisionsDemonstrated 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 signalProficiency 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 Benefits EquityCompany bonus or sales commissions/bonuses401(k) planMedical, dental, and vision benefitsWellness stipends Company Overview Domino Data Lab provides an enterprise platform designed to help organizations build, deploy, and manage AI and machine learning models.

It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://domino.ai.

Company H1B Sponsorship Domino Data Lab has a track record of offering H1B sponsorships, with 8 in 2025, 6 in 2024, 10 in 2023, 7 in 2022, 11 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.