3mo ago

Forward Deployed Engineer - Pharma Commercial

IndiaRemotefull-timemid

OtherSoftware EngineerForward Deployed EngineerSoftware Engineering

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Quick Summary

Overview

Overview We are looking for a Forward Deployed Engineer – Pharma Commercial to work at the intersection of product, data, and client engagement.

Technical Tools

OtherSoftware EngineerForward Deployed EngineerSoftware Engineering

We are looking for a Forward Deployed Engineer – Pharma Commercial to work at the intersection of product, data, and client engagement. This role partners closely with customers and internal product teams to deploy, customize, and operationalize data-driven solutions in real-world commercial environments.

You will combine analytical problem solving, data engineering, and product thinking to translate complex business questions into scalable product features and insights. The role requires hands-on experience with SQL, data analysis, and modern AI/LLM tools, along with a strong understanding of pharmaceutical commercial data and analytics workflows.

This position is ideal for individuals who enjoy solving ambiguous problems, working closely with clients, and shaping the evolution of a product through real-world deployments.

Responsibilities

~1 min read

Client-Facing Product Deployment

→Work directly with clients and internal teams to implement and customize product solutions for commercial analytics use cases.
→Translate client business questions into data models, analyses, and product features.
→Serve as the technical bridge between client teams, product, and engineering.

Data Analysis and Insight Generation

→Write and optimize SQL queries to analyze large healthcare and commercial datasets.
→Conduct exploratory data analysis to identify patterns, opportunities, and insights.
→Build analytical workflows that support product capabilities and client needs.

AI-Enabled Analytics

→Use LLM-based tools and workflows to accelerate data analysis, insight generation, and knowledge extraction.
→Design prompts and workflows that combine structured data with AI-assisted analysis.
→Support development of AI-enabled analytics features within the product.

Product Collaboration

→Work with product and engineering teams to translate client feedback into scalable product features.
→Prototype analytical workflows that may evolve into product capabilities.
→Contribute to product roadmap discussions based on client usage and market needs.

Stakeholder Communication

→Present insights and recommendations to internal and client stakeholders.
→Translate complex analytical outputs into clear business implications.
→Collaborate cross-functionally across product, engineering, and founders directly.

Requirements

~1 min read

Education

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

Experience

Minimum 2 years of experience in analytics, consulting, data science, or data engineering specifically in Pharma Commercial data.
Pharma Commercial data experience is a must-have requirement
Experience working with SQL and structured datasets.
Experience with AI ranking
Basic programming skills in Python, R, or similar languages.
Familiarity with LLM tools, AI-assisted analysis, or prompt-based workflows is preferred.

Domain Knowledge

Exposure to pharmaceutical or healthcare commercial data (sales, claims, patient-level data, target lists etc.) is a pre-requisite.
Understanding of commercial analytics, forecasting, or market access workflows is preferred.

Skills

Strong analytical and problem-solving abilities.
Ability to work in ambiguous, client-facing environments.
Strong communication and storytelling with data.
Comfort working across technical and business stakeholders.

Work directly with clients to shape how a product is used in real-world environments.
Blend consulting-style analytics with product development.
Apply modern AI and LLM tools to commercial data problems.
Help build the next generation of AI-driven analytics platforms for life sciences.