Applied AI Data Scientist - Product AI Team

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 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 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. The Product AI has team members spanning many different fields, from ML engineers and data scientists, to product management and oncologists.
As part of our team, you will be building internal and external AI Products. You will spin up and design evaluations of these AI Products and their outputs that will be 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 Product AI and across the company, you will contribute to the design, implementation, and productionalization of these AI products. In addition, you'll also:

• Work with our internal stakeholders to refine existing AI products to turn clinical data into clinical insights.
• Become a subject matter expert on one of our AI products and its capabilities and collaborate closely across the team to understand future user needs and provide analytical support that enhances AI generated outputs.
• Collaberate with research scientists and oncologists to validate that our team's products can 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 team of clinical experts.
• Interface with internal scientific & clinical stakeholders to understand what data and analyses they need our Products to cover
• Work cross-functionally with software engineers to productionize, scale, and monitor our team's products.

Who You Are
You're a product-focused data scientist, with creative analytical problem-solving skills ready to tackle the problems of measuring and evaluating the performance of AI based products. You're excited to learn about oncology from our clinical stakeholders and work with them to build AI products that help people at scale. You're a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact. In addition:

• You have 1-3 years of relevant working experience as an applied data scientist or similar technical data-oriented role. Some prior experience with LLMs is preferred.
• You hold a bachelors, masters, and/or Ph.D. in computer science, data science, or a related field.
• You understand how AI systems are evaluated 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 curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design.
• 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.

Extra Credit

• 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 put AI based products and evaluation systems into production
• You have a familiarity with the R coding language

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.
Life at Flatiron
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:

• 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

In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate inclusion and belonging in the workplace.
Job Compensation Range
Salary Range: $116,000.00 - $159,500.00
Preferred Primary Location: NY office
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.