Senior Product Designer, Global Evidence
Flatiron Health is hiring a Senior Product Designer, Global Evidence. Level rates it ; you can apply on Flatiron Health.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions product design, user research and data visualization among its tools and skills.
- Level classes it as a senior role.
- Flatiron Health has 24 other open roles on Level.
- Posted in the last few days.
AI in this role
Translate complex ML and LLM capabilities into intuitive data visualization and workflows as a Senior Product Designer at Flatiron Health.
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:
- 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.
How we rate this
Senior Product Designer, Global Evidence at Flatiron Health rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product design was part of your work. What did you do?
- Tell me about a project where user research was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where design systems was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Design, User Research, Data Visualization, and Design Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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