Avatar for Domino Data Lab
Domino Data Lab
Actively Hiring
Unleash the power of AI for sophisticated and regulated enterprises
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +2

Senior Software Engineer, Life Sciences Team

Posted: yesterday• Recruiter recently active
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Hires remotely in
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About the job

Who we are

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

What we are building

The Life Sciences Team is revolutionizing the discovery and delivery of transformative therapies by empowering researchers, operators, and regulators with innovative tools and solutions. Our mission is to:

  • Leverage industry-leading assets—data, metadata, and code—to deliver AI-driven efficiencies across the development lifecycle
  • Integrate seamlessly with niche tools and frameworks while embedding role-based insights into user workflows
  • Set the Gold Standard for collaboration among Sponsors, Academic Institutions, and Regulatory Bodies, ensuring the highest standards of reproducibility, auditability, and knowledge sharing

By fostering collaboration and enabling faster, safer therapy development, we’re setting a new benchmark for excellence in Life Sciences.

What your impact will be

In your first year, you will

  • Enhance Domino Datasets functionality to allow access via APIs, complementing traditional file system mounts
  • Improve Git repository and version control support within Domino Projects and Workspaces
  • Design and implement regulatory compliance features aligned with FDA requirements, ensuring the authenticity, confidentiality, and validation of electronic records
  • Build end-to-end audit logging to provide comprehensive workflow transparency
  • Automate external data version tracking to improve lineage and reproducibility for third-party data sources
  • Optimize workspace performance, focusing on Kubernetes-based compute-on-demand IDE functionality

What we look for in this role

  • 5+ years previously in a software engineering individual contributor role
  • Building Scalable Systems: Developing and managing high-performance back-end systems in distributed compute environments
  • Cross-Functional Collaboration: Integrating back-end systems with front-end interfaces and third-party services
  • API Development: Designing secure, efficient APIs using technologies like RESTful APIs and gRPC
  • Performance Optimization: Profiling and fine-tuning back-end systems, particularly in cloud environments and with container technologies like Docker and Kubernetes
  • Testing and CI/CD: Implementing robust testing frameworks (unit, integration, end-to-end) and maintaining CI/CD pipelines
  • Distributed Computing: Familiarity with frameworks like Apache Hadoop, Spark, Ray, or similar technologies
  • Back-End Programming: Proficiency in languages like Python, Java, Scala, or Go to build scalable web services
  • Architectural Design: Experience with service-oriented architectures (SOA) and modular, maintainable system design
  • AI/ML Concepts: Knowledge of machine learning workflows and infrastructure is a plus

What we value

  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

About the company

Domino Data Lab company logo

Domino Data Lab

Actively Hiring
Unleash the power of AI for sophisticated and regulated enterprises201-500 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • 4.6
    Highly rated
    Domino Data Lab is highly rated on Glassdoor, with 4.6 out of 5 stars
  • 4.3
    Strong Leadership
    Employees rate Domino Data Lab 4.3/5 on Glassdoor for faith in leadership
Learn more about Domino Data Lab image

Funding

AMOUNT RAISED
$223.6M
FUNDED OVER
7 rounds
Rounds
F
$100,000,000
Series F - Oct 2021+6

Perks

Healthcare benefits
We provide competitive health benefits including a free option for employees and their families.
Paid Parental Leave
We love kids and even have a Slack channel dedicated to them. New parents will receive 6 weeks of fully paid parental leave.
Annual Education Reimbursement
Growth is a pillar of our culture but we also have a diverse employee population with different learning needs. Thus, we offer an annual educational reimbursement for all employees.
Flexible PTO
We believe it’s important to disconnect.
Meals & Snacks
Our kitchen is full of snacks and enjoy lunch in the SF office 3x a week. Picnics, outings, and happy hours dot our social calendar.
Flexible Work Schedule
We trust our employees to “own the outcome” and get their work done regardless of their work location. Employees and managers determine what makes sense, balancing personal and business needs.
Commuter benefits
Uber, Lyft, Bus, Train. We want to help you in your daily commute.

Founders

Nick Elprin
Founder • 3 years
San Francisco
image
View the team image

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