AI Analytics Engineer — Pharma Data & Client Deployments

SynthioLabs, Ltd.; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

SynthioLabs, Ltd. is seeking a Forward Deployed Engineer – Product to work at the intersection of product, data, and client engagement.

You will deploy, customize, and operationalize data-driven solutions in real-world commercial environments, combining analytical problem solving with data engineering and product thinking. The role requires hands-on experience with SQL, data analysis, and modern AI/LLM tools, plus knowledge of pharmaceutical commercial data and analytics workflows.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or related quantitative field.
• Experience in analytics, consulting, data science, or data engineering in pharma industry.
• Proficiency with SQL and structured datasets.
• Familiarity with LLM tools and AI-assisted analysis or prompt-based workflows is preferred.

Responsibilities

• Deploy and customize product solutions for commercial analytics use cases with clients.
• Translate client questions into data models, analyses, and product features.
• Serve as the technical bridge between client teams, product, and engineering.
• Write and optimize SQL queries to analyze healthcare and commercial datasets.
• Use LLM-based tools to accelerate analysis and implement AI-enabled features.
• Present insights to internal and client stakeholders.

Skills

SQL

Python

R

LLM tools

Analytical thinking

Client-facing

Communication

Storytelling with data

Ambiguity tolerance

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or related quantitative field

Tools

SQL

Python

R

LLM tools

Job description

SynthioLabs, Ltd. is seeking a Forward Deployed Engineer – Product to work at the intersection of product, data, and client engagement.

You will deploy, customize, and operationalize data-driven solutions in real-world commercial environments, combining analytical problem solving with data engineering and product thinking. The role requires hands-on experience with SQL, data analysis, and modern AI/LLM tools, plus knowledge of pharmaceutical commercial data and analytics workflows.