Domino Data Lab · 12 hours ago
Staff Software Engineer, Life Sciences (Tech Lead)
United States
Full-time
Remote
Lead/Staff
$225K/yr - $250K/yrDomino Data Lab builds software that helps AI-driven organizations operate advanced data science and AI solutions. The Staff Software Engineer will architect platform interfaces and improve backend systems to support regulated AI/ML workflows in life sciences, ensuring compliance and scalability.
AI InfrastructureAnalyticsArtificial Intelligence (AI)Big DataData MiningEnterprise ApplicationsEnterprise SoftwareMachine LearningSoftware
Responsibilities
Shape extensible platform interfaces that unlock new regulated workflows: Architect durable APIs, event models, and integration surfaces that enable internal teams, partners, and the world’s largest pharmaceutical organizations to compose entirely new classes of fast, reproducible, inspection-ready scientific workflows, not just integrate existing tools
Redefine reproducibility and system of record as platform primitives: Lead the re-design of the information architecture to better support execution, lineage, and auditability so reproducibility and inspection-readiness are built into how scientific work runs across cloud, hybrid, HPC, and external data sources. Set the foundation for a platform where every result is traceable, every execution is reviewable, and compliance is intrinsic rather than bolted on
Scale compute for the next generation of scientific workloads: Drive architectural and performance improvements across Domino Workspaces and execution environments to support larger datasets, higher concurrency, and compute-intensive workloads, establishing patterns that make hybrid and HPC-backed execution first-class and reliable at scale
Qualification
Required
Deep backend and systems expertise in regulated environments: A track record of designing, building, and operating scalable backend platforms for regulated scientific or clinical workflows, such as statistical compute, QC pipelines, or inspection-ready execution
Architectural leadership and technical judgment: Strong systems thinking and hands-on experience designing robust backend services and APIs that balance usability, scalability, performance, and regulatory rigor across cloud-native and containerized environments. Experience with distributed or HPC-backed compute is a meaningful plus
Ability to lead through influence and collaboration: Comfort setting technical direction, leading cross-team design discussions, and aligning engineers, product partners, and domain experts (e.g., statisticians, reviewers, operators) around a shared architectural vision
Fluency in turning regulatory complexity into durable solutions: Proven ability to navigate ambiguity in compliance-driven environments and translate regulatory, QC, and inspection requirements into practical, well-designed platform capabilities
Strong command of modern backend languages and platforms: Proficiency in one or more backend languages such as Java, Scala, Go, or Python, with experience building long-lived, service-oriented systems using REST and/or gRPC, backed by solid API design practices
Experience operating production systems in the cloud: Hands-on experience with major cloud platforms (AWS, Azure, or GCP), containerization and orchestration (Docker, Kubernetes), and modern observability and DevOps practices to ensure reliability at scale
Benefits
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Company
Domino Data Lab
Domino Data Lab provides an enterprise platform designed to help organizations build, deploy, and manage AI and machine learning models.
Founded in 2013
201-500 employees
H1B Sponsorship
Domino Data Lab has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (6)
2023 (10)
2022 (7)
2021 (11)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$223.6MKey Investors
UBSSnowflake VenturesGreat Hill Partners
2025-08-21Series Unknown
2022-06-15Series F
2021-10-05Series F· $100M
Leadership Team
Nick Elprin
Co-Founder and CEO
Matthew Granade
Co-Founder
Recent News
Research & Development World
2025-12-03
2025-11-19
Company data provided by crunchbase