# Solutions Engineer, Life Sciences

**Company:** [Domino](https://hotfix.jobs/companies/domino-data-lab)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $160k – $230k/yr
**Skills:** Python, R, Machine Learning, Data Science, Proof Of Concept, Solutions Engineering, Data Governance, 21 Cfr Part 11, Gxp, Clinical Analytics, Omics Data Processing, Model Validation
**Posted:** 2026-08-27

> Design and lead technical evaluations, prototypes, and architectures for life sciences customers, translating scientific and operational needs into production-ready solutions. Requires Python or R proficiency, life sciences domain knowledge, and experience with customer-facing technical engagements and proof-of-concepts.

## Job Description

## Responsibilities
- Engage deeply with customers to understand technical problems, workflows, constraints, and frustrations, then recommend suitable solutions.
- Design and run hands-on proof-of-concept projects for life sciences use cases, including drug-discovery model development, clinical analytics pipelines, regulatory submission workflows, and omics data processing.
- Partner with account executives to design architectures addressing data governance, reproducibility, validation, 21 CFR Part 11, and GxP requirements.
- Identify novel use cases and opportunities within life sciences customers.
- Build and maintain reusable technical environments and assets for customer engagements.
- Partner with Customer Success and Solutions Architects to transition successful POCs into production deployments.
- Build custom prototypes and applications on Domino using AI-assisted coding tools and support forward-deployed engineering initiatives.

## Requirements
- Technical background in life sciences or technology/solutions environments, with experience building and running real systems for users.
- Working knowledge of at least one life sciences domain, such as drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management.
- Experience building, operating, or contributing to an internal platform or shared scientific computing environment.
- Experience in solutions engineering, pre-sales, customer-facing technical work, consulting, or equivalent technical problem-solving.
- Experience leading or contributing to technical evaluations, pilots, or proof-of-concepts.
- Production or near-production coding experience solving scientific or operational problems.
- Proficiency in Python and/or R.
- Hands-on experience with data science and machine learning tools used in life sciences.
- Familiarity with building, validating, and moving models toward production in regulated environments.

## Compensation
- Total on-target earnings range: **$160,000–$230,000 USD**.
- Sales compensation includes target commissions or bonuses and annual base salary.
- Additional benefits may include equity, company bonuses or sales commissions, a 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

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