Senior Applied AI Data Scientist

Flatiron Health•New York, NY

2h•Hybrid

About The Position

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? 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.

Requirements

5+ years of relevant working experience as an applied data scientist or similar technical data-oriented role, including relevant applied work in a graduate program.
Understanding of how machine learning and AI systems are measured and ability to analyze an existing system to understand the quality of its output, assess where improvements are needed, and drive the communication of those improvements to stakeholders
Collaboration 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
Impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients.
Clear and confident communicator who can break down complex data analyses to tell a compelling story
Proactively led and taken ownership of cross-functional initiatives and excel at influencing decision-making without authority

Nice To Haves

Some prior experience with ML or LLMs is preferred.
Experience working with data in a healthcare setting
Experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting
Experience working in dbt or other ETL frameworks
Experience with deep learning and traditional NLP methods

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

Benefits

flexible work hours
flexible paid time off
Comprehensive compensation package
401(k) contribution
Financial health resources including 1:1 financial advice
Mental well-being tools and services
Parental benefits and policies including family-building care and generous leave
Path to parenthood programs supporting fertility, adoption and surrogacy
Travel support for safe healthcare services
continuous learning
inclusion and belonging in the workplace