Life Sciences Solutions Engineer — Remote

Socotra, Inc.; United States; Remote; USD 130,000 - 200,000; Full time

Benefits offered by this job

Remote work

Job summary

Domino is seeking a Solutions Engineer to demonstrate our AI-enabled data science platform to life sciences customers in the United States. You will craft compelling product demonstrations, design and execute proof-of-concepts, and shape technical strategies that drive customer deployments.

The role requires hands-on coding in Python or R, working with data governance and validation needs, and collaboration with Account Executives to tailor architectures for drug discovery, regulatory analytics,

Qualifications

• Proficient in Python or R and able to write production-grade code for data science tasks.
• Experience in a solutions engineering, pre-sales, or customer-facing technical role.
• Strong understanding of life sciences workflows and data governance concepts.

Responsibilities

• Engage deeply with customers to understand their workflows, constraints, and needs before proposing solutions.
• Design and run hands-on proof-of-concept projects tailored to each customer's environment (drug discovery, clinical analytics, regulatory submission workflows).
• Collaborate with account executives to design architectures addressing life sciences requirements around data governance, reproducibility, and validation (e.g., 21 CFR Part 11, GxP).
• Identify novel use cases within life sciences customers and surface opportunities beyond initial scope of engagement.
• Build reusable technical environments and assets to accelerate future engagements.
• Partner with Customer Success and Solutions Architects to ensure customers are set up to succeed in production.

Skills

Python

R

Life sciences domain

Solutions engineering

Pre-sales experience

Job description

Domino is seeking a Solutions Engineer to demonstrate our AI-enabled data science platform to life sciences customers in the United States. You will craft compelling product demonstrations, design and execute proof-of-concepts, and shape technical strategies that drive customer deployments.

The role requires hands-on coding in Python or R, working with data governance and validation needs, and collaboration with Account Executives to tailor architectures for drug discovery, regulatory analytics,