MedScout
As a Data Engineer at MedScout, you'll be responsible for building and optimizing scalable data pipelines that process billions of healthcare claims using technologies such as Databricks and Python. You will collaborate with cross-functional teams to integrate various data sources into a unified model, troubleshoot pipeline issues, and implement data transformations to support advanced analytics. The role demands strong Python, SQL, and PySpark skills, along with experience in modern data warehousing and data quality frameworks.
MedScout is a medical device sales intelligence platform built on 330M+ patient claims from Medicare, commercial payers, and proprietary sources. It helps MedTech commercial teams find opportunities, plan territories, and execute sales strategies by providing claims-based insights into provider behaviors, referral networks, and market trends. MedScout serves sales reps, sales management, and marketing teams with tools including smart targeting, territory analytics, CRM integration, and AI-driven opportunity recommendations.
MedScout Raises $10M and Launches AI Agents | Garner Health Raises $118 Million; Reaches $1.35 Billion Valuation
15 hours ago
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2 days ago
MedScout raises $10M to deploy AI agents to assist medtech commercial and marketing teams
1 week ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for MedScout.
MedScout didn’t post a salary, so this is our estimate from similar listings.
MedScout Secures $10M Growth Investment and Unveils AI Agents for Commercial Teams
1 week ago