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Senior Applied AI Data Scientist

Flatiron Health - NY office

Posted May 29, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Senior Applied AI Data Scientist NY office 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 Scientist 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 At Flatiron, we're advancing the use of machine learning and generative AI to extract clinically relevant information from unstructured medical notes to create de-identified oncology research datasets. The Discovery team is helping to build these next generation research data products, developing and applying ML & LLMs to capture a complete picture of the patient journey. The Discovery has team members spanning many different fields, from ML engineers and data scientists, to product management and oncologists. As a senior member of our team, you will drive the application of existing internal and off-the-shelf external AI systems and validate AI generated data sets that are used by clinicians and researchers to evolve cancer research, generate clinical insights, and learn from the experience of millions of people living with cancer. Engaging with a cross-functional group of stakeholders both within Discovery and across the company, you will own taking critical data sets from scoping through to validation, productionization and delivery. In addition, you'll also: - Work with our clinical stakeholders to apply existing AI systems to turn raw clinical

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