Forward Deployed Engineer (Pharma Analytics & AI)

HartleyCo; San Francisco (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

HartleyCo in San Francisco is seeking an early-career analyst to turn pharma commercial data into working customer solutions. You’ll work directly with customers and founders, investigate business questions in SQL, build analytical workflows and help shape what becomes part of the product.

This role suits someone with 1–3 years in pharma analytics, data science or data engineering, hands-on exposure to sales, claims, patient-level or HCP targeting data, SQL and some Python or R, and the ability

Qualifications

• 1–3 years in pharma analytics, consulting, data science or data engineering.
• Hands-on exposure to sales, claims, patient-level, prescription or HCP targeting data.
• SQL skills you can demonstrate, plus basic Python or R.
• Ability to explain what an analysis means for a business decision.
• Interest in applying AI to problems in pharma.

Responsibilities

• You’ll work directly with customers and founders.
• Investigate business questions in SQL.
• Build analytical workflows and help shape what becomes part of the product.
• Help decide how the solution should work and improve it through real customer use.

Skills

SQL

Python or R

Business impact translation

pharma analytics experience

Job description

I’m working with a YC-backed AI company that's hiring someone early in their career to help turn pharmaceutical commercial data into working customer solutions.

You’ll work directly with customers and founders, investigate business questions in SQL, build analytical workflows and help shape what becomes part of the product.

This could suit you if you have:

• Around 1-3 years of relevant pharma analytics, consulting, data science or data engineering experience.
• Hands-on exposure to sales, claims, patient-level, prescription or HCP targeting data.
• SQL skills you can demonstrate, plus basic Python or R.
• The ability to explain what an analysis means for a business decision.
• An interest in applying AI to problems you already understand.

The scope is broader than producing reports. You’ll help decide how the solution should work and improve it through real customer use.