Life Sciences Solutions Engineer — Remote
Domino Data Lab
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Benefits offered by this job
Job summary
Domino Data Lab is seeking a Solutions Engineer to engage deeply with life sciences customers, designing hands-on proofs-of-concept and architectural strategies that move models toward production. You will partner with Account Executives to craft architectures addressing data governance, reproducibility, and regulatory needs.
The role emphasizes building reusable environments, identifying new use cases, and supporting customers from POC to production deployments while working in a
Qualifications
- Technical background in life sciences or related tech environment.
- Experience in pharma/biotech or software solutions for scientific work.
- Understanding of building and running real systems for users.
- Proficiency in Python and/or R; experience with data science tools.
- Familiarity with deploying models to production in regulated contexts is a plus.
Responsibilities
- Design and run hands-on proof-of-concept projects for each customer's environment.
- Architect architectures addressing data governance, reproducibility, and validation in life sciences.
- Identify novel use cases and surface value beyond the initial engagement.
- Build reusable technical environments and assets for faster future engagements.
- Collaborate with Customer Success and Solutions Architects to ensure production readiness.
Skills
Tools
Job description
Domino Data Lab is seeking a Solutions Engineer to engage deeply with life sciences customers, designing hands-on proofs-of-concept and architectural strategies that move models toward production. You will partner with Account Executives to craft architectures addressing data governance, reproducibility, and regulatory needs.
The role emphasizes building reusable environments, identifying new use cases, and supporting customers from POC to production deployments while working in a
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