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Applied AI Data Scientist - Product AI Team

Flatiron Health
New York, New York, United StatesPosted today
Location
New York, New York, United States

About the Role

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.

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 team has members spanning many different fields, from ML engineers and data scientists, to product management and oncologists.

Responsibilities

  • Build internal and external AI Products
  • Spin up and design evaluations of 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
  • Engage with a cross-functional group of stakeholders both within Product AI and across the company to contribute to the design, implementation, and productionalization of AI products
  • Work with 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
  • Collaborate 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 and 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

Requirements

  • Experience: 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.
  • Education: Bachelor's, Master's, and/or Ph.D. in computer science, data science, or a related field.
  • AI evaluation: 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.
  • Emerging technologies: Curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design.
  • Technical collaboration: Experience collaborating 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 orientation: Impact-oriented and care deeply about creating real change for customers, users, and ultimately patients. Choose the right, rather than the flashiest, method available to reach your goals.
  • Communication: Clear and confident communicator who can break down complex data analyses to tell a compelling story.
  • Cross-functional leadership: Have led cross-functional initiatives and excel at influencing decision-making without authority.

Extra Credit

  • 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
  • Have put AI based products and evaluation systems into production
  • Familiarity with the R coding language

Work Environment

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.

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
  • Continuous learning and inclusion and belonging in the workplace

About Flatiron Health

Flatiron Health is a healthcare technology and services company focused on oncology. It develops oncology-specific electronic health record (EHR) software used by community oncology practices and academic medical centers, and curates real-world clinical data into real-world evidence used by clinicians, researchers, and life science organizations for cancer care and research. It has operated as an independent affiliate/member of the Roche Group since Roche acquired it in 2018.

Industry
Healthcare technology / oncology data and software (biotechnology research)
Head office
New York, New York, USA (233 Spring Street)
Company size
1,001-5,000 employees
Founded
2012
Oncology-specific electronic health record (EHR) softwareReal-world oncology data and real-world evidence for cancer researchPoint-of-care technology for community oncologistsData and analytics for life sciences and pharmaceutical partners
View Flatiron Health’s profile →

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