Design data-heavy tools and services that translate ML, LLM, and complex data pipeline outputs into clear insights for researchers and evidence teams. Responsibilities include user research, prototyping, testing with real data, systems thinking, design system contribution, cross-functional workshops, workflow improvement, and balancing usability, technical constraints, business priorities, and regulatory requirements.
Reimagine how we translate complex ML and LLM capabilities into clear, actionable insights for researchers, data scientists, and evidence teams. This is your chance to design software and systems that make the invisible visible-turning the complexity of our data processing pipelines into intuitive tools that make it easier and faster to work with complex data.
We're looking for an experienced Senior Product Designer to help us accomplish our mission to improve lives by learning from the experience of every cancer patient. Here's what you need to know about the role, our team, and why Flatiron Health is the right next step in your career.
What You'll Do
You'll design tools and services that sit at the intersection of our Global Evidence business-where ML models, LLM systems, and complex data pipelines meet user-centered design. Your core responsibility is translating ML backend complexity and LLM variability into repeatable, insight-generating processes that help internal users make sense of large, iterative datasets.
In this role, you'll:
Who You Are
You're a Senior Product Designer with 3 to 5 years of experience designing complex, data-heavy interfaces and multi-step workflows. You're excited by the challenge of making technical complexity accessible and actionable. You're a thoughtful problem-solver who balances user needs with technical constraints, seeks candid feedback, and is energized by the opportunity to make an important impact on cancer research.
You bring:
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:
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: $136,000.00 - $187,000.00
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.
We're looking for an experienced Senior Product Designer to help us accomplish our mission to improve lives by learning from the experience of every cancer patient. Here's what you need to know about the role, our team, and why Flatiron Health is the right next step in your career.
What You'll Do
You'll design tools and services that sit at the intersection of our Global Evidence business-where ML models, LLM systems, and complex data pipelines meet user-centered design. Your core responsibility is translating ML backend complexity and LLM variability into repeatable, insight-generating processes that help internal users make sense of large, iterative datasets.
In this role, you'll:
- Translate complexity into clarity: Work with data scientists and ML engineers to understand how our AI/LLM systems work, identifying opportunities to surface insights through thoughtful data presentation and visualization
- Design for internal users: Collaborate with clinical data teams, research coordinators, and evidence operations staff to observe their workflows, understand pain points, and design tools that reduce friction in how they work with large datasets and model outputs
- Own the full design process: Move fluidly from discovery and user research to prototyping, testing, and iterative refinement. You'll conduct user testing with real data and real workflows, dogfooding alongside your team to validate solutions
- Think systemically: Understand how your work integrates with a wider ecosystem of data delivery and processing tools. Design solutions that balance core functionality, process improvements, experimental ML/LLM features, and regulatory requirements-always mindful of our limited engineering resources
- Balance strategic tradeoffs: Work closely with product managers and engineering leads to prioritize design solutions against business strategy. You'll help navigate decisions between building new capabilities, improving existing workflows, experimenting with emerging tech, and maintaining compliance
- Champion design systems and consistency: Contribute to and evolve our shared design system, ensuring it supports data-heavy, technically complex interfaces while maintaining usability and visual coherence across tools
- Facilitate collaboration: Lead workshops, working sessions, and cross-functional design reviews. Create alignment among data scientists, engineers, product managers, and research operations on proposed solutions before moving into development
Who You Are
You're a Senior Product Designer with 3 to 5 years of experience designing complex, data-heavy interfaces and multi-step workflows. You're excited by the challenge of making technical complexity accessible and actionable. You're a thoughtful problem-solver who balances user needs with technical constraints, seeks candid feedback, and is energized by the opportunity to make an important impact on cancer research.
You bring:
- Systems-oriented product design expertise: You have prior experience in applied product design, user experience design, or service design, with a demonstrated ability to design at every level: from individual interactions to comprehensive end-to-end workflows
- Comfort with technical ambiguity: You can engage productively with data scientists, ML engineers, and research teams. You understand the basics of how ML models and LLM systems work and can ask the right questions to translate technical capabilities into user value
- Strong research and validation skills: You're experienced in both quantitative and qualitative research methods. You love rapid prototyping, user testing, and iterating with real data. You're comfortable dogfooding tools alongside your team
- Systems thinking: You naturally see connections across workflows, tools, and processes. You can map information flows, identify integration points, and design solutions that account for downstream impact
- Product-agnostic thinking: You're comfortable thinking about how solutions may map across different, overlapping products, or require working on different tools than where you started. You prioritize user outcomes over product ownership
- Resource awareness: You understand how to deliver high-impact design work within constraints. You can prioritize ruthlessly, scope solutions pragmatically, and make thoughtful tradeoffs between experimentation and stability
- Strong communication: You can explain complex design decisions and technical tradeoffs to diverse audiences-from data scientists to senior leadership. You're skilled at building alignment and pushing back thoughtfully when needed
- A bias toward lean design: You work efficiently with design systems, leverage existing patterns, and avoid over-engineering solutions. You move fast without sacrificing clarity or usability
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: $136,000.00 - $187,000.00
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.
Similar Jobs at Flatiron Health
Healthtech • Software • Biotech • Pharmaceutical
Supports Flatiron’s oncology product development as a clinical genomics subject matter expert. Interprets genomic test results, translates oncology workflows into product requirements, validates clinical decision-support features, and advises Product, Engineering, and Clinical teams. Develops educational materials on precision medicine and genomic testing, represents provider needs, and stays current on molecular diagnostics, targeted therapies, and oncology guidelines.
Top Skills:
Flatiron AssistGenomic TestingMolecular DiagnosticsNext-Generation Sequencing (Ngs) PanelsOncoemr
Healthtech • Software • Biotech • Pharmaceutical
Designs, builds, and maintains data engineering solutions and ETL/ELT pipelines supporting oncology research and life sciences customers. Collaborates with clinical analysts, scientists, oncologists, and project managers to deliver reliable, high-quality data products. Responsibilities include translating research needs into technical solutions, mentoring engineers, participating in code reviews, improving processes, monitoring CI/CD, and troubleshooting pipeline issues.
Top Skills:
Ai-Assisted Coding ToolsAWSCi/CdClaude CodeCursorDockerEtl/EltGitPythonSnowflakeSQL
Healthtech • Software • Biotech • Pharmaceutical
Manages biopharma partnerships by generating and closing business opportunities, developing proposals, negotiating commercial terms, and supporting client use of real-world evidence and AI research offerings. Builds subject-matter expertise in oncology, biopharma research priorities, and Flatiron solutions; facilitates onboarding, gathers customer feedback, identifies growth opportunities, and influences go-to-market strategy across cross-functional teams. Travel is anticipated at less than 20%.
Top Skills:
Artificial Intelligence (Ai)Healthcare AnalyticsReal-World Data (Rwd)Real-World Evidence (Rwe)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

