Pharma Data & AI Product Engineer - Client-Facing

synthio-labs; San Francisco (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

synthio-labs is seeking a Forward Deployed Engineer – Product in San Francisco to bridge product, data, and client engagement. You will deploy, customize, and operationalize data-driven solutions at client sites, using SQL, data analysis, and AI/LLM tools.

You’ll translate business questions into scalable product features, collaborate with product and engineering teams, and shape analytics workflows for pharma environments.

Qualifikationen

• Bachelor’s or Master’s degree in Engineering, CS, Data Science, Statistics, Economics, or related quantitative field.
• 0–3 years of analytics, consulting, data science, or data engineering experience in pharma.
• Experience with SQL and structured datasets.
• Basic programming skills in Python, R, or similar languages.
• Familiarity with LLM tools or AI-assisted analysis is preferred.

Aufgaben

• Client-Facing Product Deployment: implement and customize product solutions for commercial analytics use cases.
• Data Analysis and Insight Generation: write and optimize SQL queries to analyze healthcare and commercial datasets.
• AI-Enabled Analytics: use LLM tools to accelerate data analysis and develop AI-enabled analytics features.
• Product Collaboration: translate client feedback into scalable product features and roadmap input.
• Stakeholder Communication: present insights and translate outputs into business implications.

Kenntnisse

SQL

Data analysis

Python

LLM tools

Pharma data

Product thinking

Client-facing

Communication

Ausbildung

Bachelor’s or Master’s degree in a quantitative field

Tools

Python

R

Jobbeschreibung

synthio-labs is seeking a Forward Deployed Engineer – Product in San Francisco to bridge product, data, and client engagement. You will deploy, customize, and operationalize data-driven solutions at client sites, using SQL, data analysis, and AI/LLM tools.

You’ll translate business questions into scalable product features, collaborate with product and engineering teams, and shape analytics workflows for pharma environments.