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Applied AI Data Scientist

New York, NY

Full-time

Hybrid

Mid Level

3+ years exp

Flatiron Health is a biotechnology research and development company focused on improving cancer care. They are seeking an Applied AI Data Scientist to advance the use of machine learning and generative AI in oncology research by transforming unstructured clinical data into high-quality datasets for research and clinical insights.

Computer Software

Responsibilities

Work with our clinical stakeholders to apply existing AI systems to turn raw clinical data into high quality research data

Become a subject matter expert on our data and its capabilities and collaborate closely across the team to understand data needs and provide analytical support that enhances model development and deployment

Work with research scientists and oncologists to validate that our team's models can be used to generate sound scientific insights, including full dataset performance analyses

Work closely with subject matter experts & ML researchers to define requirements for training and evaluation datasets, and maintain software pipelines for the generation of these sets

Provide analytic support and create custom data outputs for cross-functional teams such as our team of clinical experts

Interface with internal scientific & clinical stakeholders to understand what data they need to conduct high quality research

Work cross-functionally with software engineers to productionize, scale, and monitor our team's models

Qualification

Machine LearningGenerative AIData AnalysisPythonSQLHealthcare DataCross-functional CollaborationCommunication SkillsProblem-solving

Required

3+ years of relevant working experience as an applied data scientist or similar technical data-oriented role, including relevant applied work in a graduate program

You understand how machine learning and AI systems are measured and can analyze an existing system to understand the quality of its output, assess where improvements are needed, and communicate the impact of those improvements to stakeholders

You have collaborated with other technical team members in a production development environment using formal version control, Python (including data manipulation in pandas, polars or a similar framework), and SQL

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 a clear and confident communicator who can break down complex data analyses to tell a compelling story

You have led cross-functional initiatives and excel at influencing decision-making without authority

Preferred

Some prior experience with ML or LLMs is preferred

You have experience working with data in a healthcare setting

You have experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting

You have experience working in dbt or other ETL frameworks

You have experience with deep learning and traditional NLP methods