Senior Software Engineer, Academics

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.

We’re looking for a Senior Software 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 change maker in cancer care?

We’re looking for a technical lead to develop and maintain integrations with Academic and Health System Partners. This role is responsible for building, maintaining, and evolving infrastructure that forms the backbone of Academics Integrations at Flatiron, including management of structured and unstructured data sources. This role will collaborate with other Flatiron employees across our UK, Germany, and Japan offices, and will work day-to-day with oncologists, clinicians, product leaders, quantitative scientists, and customers to understand their challenges and how technology can help solve them.

In addition you will:

• Provide technical leadership, including shaping the direction of roadmaps and technology development.
• Help build our scaling strategy for Academics and Health Systems partnerships
• Devise creative solutions for technical and business challenges
• Rapidly iterate on products while maintaining engineering practices that ensure quality and security
• Raise the bar for developer experience and operational excellence, by establishing and upholding rigorous operational and observability frameworks in service of robust, high throughput pipelines
• Promote technical excellence and elegant infrastructure design with teammates and customers
• Work with complex data pipelines using a variety of data processing tools
• Bring or develop a deep knowledge of healthcare in the US, including data sources, security requirements, and emerging trends

You’re a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. You’re excited by the prospect of working on difficult and meaningful problems each day. You seek and give candid feedback, and value the chance to make an important impact on cancer patients and society.

• You’re an experienced software engineer with a minimum of 6 years of relevant professional experience
• You hold a bachelors, masters, and/or Ph.D. in computer science or a related field
• You will be a technical lead of a small team, and help scale our ambitious roadmap
• You are excited to work in a collaborative, cross-functional environment, think creatively and be scrappy to get the job done
• You have a nose for value and empathy for your customers
• You have experience with agile development environments using programming languages like Python, C++, SQL, Java and R, but are also language agnostic and willing to pick up new programming languages as needed
• You have experience working with cloud platforms like AWS, data warehouse solutions like Snowflake, and ETL frameworks like DBT and Databricks
• You believe in using boring technology (described in this blog post). You’re willing to apply the right tools for the job
• You are excited about working in a passionate, fast-paced, technology-driven culture
• You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience
• You are excited to talk to customers and help design collaboration models that scale across industries
• You are comfortable with ambiguity and always willing to teach and learn

• You have experience working in hospitals or Academic Medical Centers in the US
• You have experience in machine learning, data engineering, infrastructure, devops, or security engineering
• You have 1-2 years managing engineers, or an interest in managing engineers
• You have experience developing integrations with external stakeholders and data sources
• You are comfortable in or willing to go deep into the data engineering toolbox, with tools such as Databricks, DBT, and Prefect.
• You have worked in the health data space, and are comfortable collaborating with scientific stakeholders (e.g. biostatisticians, clinicians, researchers)

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