Domino Data Lab

Domino Data Lab

Solutions Engineer, Life Sciences

Remote US (East Coast)

Sponsorship not specified$160k-$230kDetected 29 days ago
PythonSnowflakeMachine LearningData ScienceCustomer SuccessBioinformaticsMedical DevicesGxP

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 441 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup.
  • What we look for in this role - 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.

Responsibilities

  • 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).
  • 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.
  • 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.

Requirements

  • Proficiency in Python and/or R; hands-on experience with the data science and ML tools used in life sciences technical work.

Compensation

  • $160,000 - $230,000 USD

Benefits

  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

Company info

  • At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai
  • What we are building
  • 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.
  • What your impact will be
  • At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases.
  • Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale.
  • Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country.
  • In the world of AI today, we believe that the future is still being invented - and we want to be the ones building it.
  • For more information, visit www.domino.ai
  • 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.

Visa & Work Authorization

  • Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements.
  • Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate.
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This listing is sourced directly from Domino Data Lab's careers page and normalized into a canonical job model.