Senior Data Scientist - Workflow Automation

Posted 2 Hours Ago
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New York, NY, USA
Hybrid
152K-209K Annually
Senior level
Healthtech • Software • Biotech • Pharmaceutical
Reimagining the infrastructure of cancer care.
The Role
Build and maintain production-grade AI-powered workflow automations that connect systems and standardize business processes. Identify and prioritize automation opportunities, define requirements, write custom logic and integrations, monitor workflows, troubleshoot failures, and document technical solutions. Evaluate AI system quality, investigate emerging architectures, and communicate technical findings to stakeholders. The role requires collaboration across teams, strong data and API skills, and production experience with Python or JavaScript.
Summary Generated by Built In
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.
Job Compensation Range
Salary Range: $152,000.00 - $209,000.00
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.

Skills Required

  • 4+ years of relevant experience as an applied data scientist or similar technical data-oriented professional
  • Prior experience with large language models
  • Bachelor's, master's, and/or Ph.D. in computer science, data science, or a related field
  • Ability to evaluate AI systems and analyze output quality and improvement opportunities
  • Knowledge of emerging AI architectures and design
  • Experience collaborating in a production development environment using formal version control
  • Programming experience with Python or JavaScript
  • Experience parsing JSON, transforming payloads, connecting to databases, and integrating third-party services through REST APIs
  • Strong communication skills and ability to explain complex data analyses
  • Familiarity with workflow automation platforms such as n8n, Zapier, Make, or Airflow
  • Deeper understanding of APIs, webhooks, OAuth, and API keys
  • Background in consulting, data analysis, solutions engineering, data engineering, or a similar hybrid technical/product role

What the Team is Saying

Megan
George
Kathi
Ivy Altomare
Flatiron Health
Nathan Hobrath
Abhinav Yadav
Megan Hildner
Dominesa Mitchell
Ivy Altomare
George Ho
Megan Hildner
Nathan Hobrath
Flatiron Health
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The Company
HQ: New York, NY
2,500 Employees
Year Founded: 2012

What We Do

Flatiron Health is a healthtech company dedicated to helping cancer centers thrive and deliver better care for patients today and tomorrow. Through clinical and data science, we translate patient experiences into real-world evidence to improve treatment, inform policy, and advance research. Cancer is smart. Together, we can be smarter. Flatiron Health is an independent affiliate of the Roche Group.

Why Work With Us

Reimagine the infrastructure of cancer care within a technology and science community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Flatiron, attracting and inspiring a diverse team is essential to our success. Our hybrid work approach, built on flexibility and clarity, allows you to choose your office days while optimizing productivity and well-being.

Typical time on-site: 3 days a week
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