Applied AI Data Scientist - Product AI Team

About the role

At Flatiron, we’re advancing the use of LLMs to build AI-first products that allow the analysis and delivery of oncology data at scale. The Product AI team is helping to build these next-generation AI data products, with team members spanning ML engineers, data scientists, product management, and oncologists.

As part of our team, you will build internal and external AI products, design evaluations of these products and their outputs for use by clinicians and researchers, and contribute to the design, implementation, and productionalization of AI-driven solutions that evolve cancer research, generate clinical insights, and learn from the experience of millions of people living with cancer.

You will engage with cross-functional stakeholders to refine existing AI products, turning clinical data into actionable insights. You’ll become a subject-matter expert on one of our AI products, collaborate to understand future user needs, and provide analytical support to enhance AI-generated outputs.

Responsibilities

• Collaborate with research scientists and oncologists to validate that our team’s products generate sound scientific insights, including full dataset performance analyses.
• Provide model support and create custom evaluations to capture value for internal and external teams, such as our clinical experts.
• Interface with internal scientific and clinical stakeholders to understand their data and analysis needs.
• Work cross-functionally with software engineers to productionize, scale, and monitor our team’s products.
• Analyze AI system outputs, assess where improvements are needed, and communicate the impact of those improvements to stakeholders.

Requirements

• 1-3 years of relevant working experience as an applied data scientist or similar technical data-oriented role.
• Prior experience with LLMs is preferred.
• Bachelor’s, master’s, and/or Ph.D. in computer science, data science, or a related field.
• Understanding of how AI systems are evaluated and ability to analyze existing systems to assess output quality.
• Curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design.
• Experience collaborating in a production development environment using formal version control, Python (including data manipulation in pandas, polars, or similar), and SQL.
• Impact-oriented mindset with a focus on creating real change for customers, users, and ultimately patients.
• Clear and confident communication skills to break down complex data analyses and tell a compelling story.
• Experience leading cross-functional initiatives and influencing decision-making without authority.

Preferred Qualifications

• Experience working with data in a healthcare setting.
• Experience with the risks of bias in machine learning, health equity research/analysis, or work with underrepresented groups in a clinical research setting.
• Experience putting AI-based products and evaluation systems into production.
• Familiarity with the R coding language.

Schedule

This is a hybrid role with a defined work location that includes work from home and 3 office days set by you and your team.

Benefits

• Work/life autonomy via flexible work hours and flexible paid time off.
• Comprehensive compensation package.
• 401(k) contribution to help you reach your retirement planning goals.
• 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.

Visit our Life at Flatiron page to learn how we support continuous learning and celebrate inclusion and belonging in the workplace.

Pay

Salary Range: $116,000.00 - $159,500.00 (based on the preferred primary location of the role, which is the NY office). Base pay 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 medical, financial, and other benefits.