Flatiron Health

Data Insights Engineer - Data Product (m/f/d)

Berlin, Germany
SQL Python R
Description

We’re looking for a Data Insights Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?

Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, data analysts, software engineers, research scientists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.

What You'll Do

The Data Insights Engineer role is part of our International Data Insights team. The Data Insights Team is a talented group of individuals with strong data expertise and understanding of our customers’ needs. 

Building on 10 years of experience in the US, Flatiron’s international team is scaling Flatiron’s approach in new countries. Streamlined teams in each market are establishing partnerships with local cancer care providers and developing high-quality real-world data for researchers around the world. Data Insights Engineers are embedded in those teams and play a key role in understanding our data partners’ source data, conducting exploratory data analyses, developing data models, building research-grade data sets, and supporting data-driven decision-making.

As part of this work, you will:

  • Become a subject matter expert on our data and its capabilities.
  • Work closely with a cross-functional team (e.g., product managers, software engineers, oncologists, clinical data specialists) to develop new real-world data products.
  • Become a subject matter expert in the format, quality, content and sources of data from our partners.
  • Conduct exploratory analyses to inform our approaches to source data ingestion from partners. 
  • Conduct data cleaning and define business logic to transform data into Flatiron’s common data model.
  • Collaborate with software engineers to implement data pipelines.
  • Provide analytic support and create custom data outputs for cross-functional teams such as our team of clinical experts.

W

Who You Are

You're a kind, collaborative and analytic problem solver and value the opportunity to think beyond the way things are. In addition,

  • You have a BS or MS from a technical field of study (e.g. data science, engineering, computer science, mathematics, applied statistics, health economics, etc.) with 0-2 years of relevant experience.
  • You’re impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals.
  • You are proficient in SQL and Python.
  • You have an understanding of key statistical concepts and the ability to generate and interpret statistical analyses.
  • You are a clear and confident communicator who can break down complex data analyses to tell a compelling story.
  • You are a self-starter who can independently prioritize and enjoys coming up with innovative solutions to challenging problems.  
  • You are passionate about our mission to improve cancer care through data and technology.
  • You enjoy working in a fast-paced startup-like environment.
  • You are proficient in English and German.

Optional

  • You have prior experience in healthcare.
  • You have experience working in R or DBT, or are excited to learn.

Who We Are

Our people are at the center of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit the Life at Flatiron page to learn more.

Flatiron Health
Flatiron Health
Biotechnology Cloud Computing Electronic Health Record (EHR) Health Care Health Diagnostics Hospital Personal Health

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