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Flatiron Health

Senior Data Scientist - Workflow Automation

Flatiron Health is hiring a Senior Data Scientist - Workflow Automation. Level rates it ; you can apply on Flatiron Health.

Level's read on this job

  • Level rates this data scientist role Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions Zapier AI and N8n among its tools and skills.
  • Level classes it as a senior role.
  • Flatiron Health has 22 other open roles on Level.
  • Posted in the last few days.

AI in this role

zapier-ain8n

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 Senior 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

We're looking for someone who can proactively define business processes worth automating next, then turn that into reliable, production-grade automations. You'll partner with teams across the company to identify and prioritize automation opportunities, scope requirements, and build automations leveraging AI. In addition you will:

  • Proactively identify and prioritize automation opportunities across the business, then partner with stakeholders to define requirements and align on priorities.
  • Design, build, test, and maintain automations (e.g., using n8n) that connect systems and automate processes across the organization.
  • Write design documents that scope technical approaches, surface tradeoffs, and set expectations with partners.
  • Write code for custom logic, data transformation, and API integrations.
  • Monitor production workflows, troubleshoot failures, and build in error handling and alerting from the start.
  • Document workflows so they can be understood, maintained, and extended by others.

Who You Are

You're a product-focused senior data scientist who is excited to build AI-powered workflows that help teams move faster with more standardized and informed processes. 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 4+ years of relevant working experience as an applied data scientist or similar technical data-oriented role. Prior experience with LLMs is required.
  • You proactively identify and scope what we should automate next — rather than simply executing pre-defined specs — then drive execution end-to-end.
  • 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 or Javascript.
  • You have experience working with data: parsing JSON, transforming payloads, connecting to databases or third-party services (e.g., via REST APIs). 
  • 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.

Extra Credit

  • Familiarity with workflow automation platforms (n8n, Zapier, Make, Airflow).
  • Deeper understanding of APIs (REST, webhooks, authentication patterns like OAuth and API keys).
  • Background in consulting, data analysis, solutions engineering, data engineering, or a similar hybrid technical/product role.

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 Data Scientist - Workflow Automation at Flatiron Health rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Zapier AIN8n

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. What's a project where you used Zapier AI hands-on?
  2. Walk me through how you've used N8n in your day-to-day work.
  3. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  4. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: Zapier AI and N8n. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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