Senior Real World Evidence Data Analyst

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 Data Analyst 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?
What You'll Do
In this role, you'll work with Flatiron's Real World Evidence team to support the delivery of data sets and products to our clients in the life sciences. You'll play a key role in developing data models, building research-grade data sets, and conducting statistical analyses that support our customers in their efforts to advance the state of cancer care. 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.
• Conduct and review tests to monitor quality of data sets to ensure research-grade data quality in our products, investigating data issues as necessary.
• Conduct and present ad-hoc analyses in response to customer requests and internal questions.
• Work with cross-functional stakeholders to develop tools and process improvements to optimize project execution for our custom solutions projects.
• Conduct analyses on internal process metadata and translate findings into actionable insights for business leaders.

Who You Are

• 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 a minimum of 3 years of relevant experience
• You are proficient in SQL and R
• 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

Extra Credit

• You have prior experience in Healthcare
• You have prior Oncology or Clinical Data experience
• You have experience designing experiments
• You have experience developing software tools
• You have experience in Python

Where You'll Work
In this hybrid role, you'll have a defined work location that includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.
Preferred Primary Location: Durham hub
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.