Data Insights Engineer

• Develop a deep understanding of source data and develop data processing and quality assurance approaches for structured and unstructured data.
• Collaborate with team members across functional (e.g. Engineering, Clinical, Product) and global teams to develop our international data products.
• Devise and build data analyses and visualizations to optimize Flatiron's processes to transform German medical data into research-ready datasets.
• Immerse yourself in business and technical context to help your team identify opportunities for unlocking new value from our unique datasets.
• Rapidly iterate on early stage products where a hybrid skill set of product intuition, customer empathy and data expertise is essential.
• Collaborate with internal and external partners on scientific research projects that leverage our real-world data (RWD).
• Evaluate new data sources to unlock new product and research opportunities.

• You have a strong background in statistics/analytics and can fit the appropriate analysis to complex business or research problems
• You are versatile and can easily pick up new programming languages and tools, but come with strong experience in Python or R
• You have at least 3 years of industry experience in relevant roles such as healthcare data scientist, data scientist, data analyst, data engineer or at least 3 years of academic research experience in a quantitative field
• You have a record of success driving initiatives forward by generating buy-in, managing complexity and continuously delivering business impact
• You care more about fixing our customers’ problems and advancing cancer treatment than you do about dealing with the coolest / newest data processing techniques.
• You are a clear and confident communicator who can explain technical concepts to business and clinical partners
• You are value-oriented and practical in how you apply data to problems and understand what it takes to build sustainable products at scale
• You are passionate about our mission to improve cancer care through data and technology
• You are fluent in English (C-level) and have experience with German (B-level or above)

Extra credit

• You have experience applying Machine Learning or Natural Language Processing to health data
• You have experience in Data Engineering, including ETL and data warehousing tools
• You have collaborated with other technical team members in a production development environment using formal version control and one or more modern programming languages
• You have specific domain expertise in an area relevant to Flatiron’s products or operations: health data, RWD/RWE, outcomes research, clinical research or oncology