Data Engineer ETL, Python in RxData

What We Do

RxData provides pharmaceutical companies with the most up-to-date and comprehensive database of drug costs and insurance coverage globally. Our clients and investors refer to us as “the Bloomberg of Pharma”. Right now, pharma companies spend 100 hours per analysis, having to farm through fragmented data and manually analyze hundreds of sources. RxData enables pharma to complete this same analysis in 5 minutes with real-time access to pricing, market access, and clinical data across 20+ countries to inform strategic decisions.

RxData's Team
RxData is the first and only platform that uses programming tools to aggregate, translate and analyze global pharma data. This work is generally done manually and currently represents an extremely high burden for the Pharma industry. Our team has built a large international network in Asia, Europe and the Americas. Not only are the co-founders from an international background, but our team of experts and programmers spans the globe.

RxData está en busca de un Data Engineer para trabajar remotamente desde Chile. El salario es muy competitivo, ya que es una empresa norteamericana, pero requerimos un profesional experimentado con nivel avanzado de ingles, que sea capaz de presentar tanto a clientes como al equipo sin problemas.

About The Role:

We are expanding our data team by hiring a Data Engineer who will be the key producer of our source data plugged into our leading SaaS platform. Our company’s mission is to help pharma companies with their commercial strategy by understanding what kind of levers they have to maximize their commercial opportunities. As we grow, we will have a better understanding of how certain governmental policies can be steered to maximize innovation and resource utilization.

In this role you'll gain experience in:

• Data: Work with large amounts of data on pharmaceutical pricing and reimbursement, using proprietary methods. You'll learn vital techniques on ensuring data accuracy and deriving key insights across a number of types of data.
• Pharma: You'll gain insight into how the pharmaceutical industry thinks about pricing and reimbursement of pharmaceuticals

• Advanced English
• Languages / packages: Python (advanced level - required), Django (or similar framework experience - a plus)
• Programming experience: ETL, web scraping, process automation
• You have strong attention to detail
• You are a methodical problem solver
• You can clearly communicate complex concepts, both orally and written
• You strive to make tasks as efficient as possible
• You have an ability to manage competing priorities

• Very competitive pay
• Fully remote
• Young innovative startup environment, which is quite unusual in this pharma commercialization space