Client-Facing Data & AI Engineer – Pharma Analytics

SynthioLabs, Ltd.; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

SynthioLabs, Ltd. seeks a Forward Deployed Engineer – Product to bridge client engagement with data-driven product deployment. You will translate business questions into scalable data features, leveraging SQL, data analysis, and modern AI/LLM tools within pharmaceutical analytics workflows.

You will collaborate with clients, product, and engineering to deploy customized solutions, analyze large datasets, and shape product evolution through real-world deployments.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Engineering, CS, Data Science, Statistics, Economics) is required.
• 0–3 years of analytics/consulting/data engineering experience in pharma is preferred.
• Strong SQL and structured data experience; basic programming in Python or R is expected.
• Familiarity with LLM tools, 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.
• Act as the technical bridge between client teams, product, and engineering.
• Write and optimize SQL queries to analyze healthcare and commercial datasets.
• Develop analytical workflows that support product capabilities and client needs.
• Design prompts and workflows for AI-enabled analytics features within the product.
• Collaborate with product, engineering, and client teams to refine features based on feedback.

Skills

SQL

Data analysis

Python

R

LLM tools

AI-enabled analytics

Data engineering

Product thinking

Education

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

Tools

Python

R

LLM platforms

Job description

SynthioLabs, Ltd. seeks a Forward Deployed Engineer – Product to bridge client engagement with data-driven product deployment. You will translate business questions into scalable data features, leveraging SQL, data analysis, and modern AI/LLM tools within pharmaceutical analytics workflows.

You will collaborate with clients, product, and engineering to deploy customized solutions, analyze large datasets, and shape product evolution through real-world deployments.