Machine Learning Engineer

Posted Yesterday
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NYC, NY
Hybrid
139K-209K Annually
3-5 Years Experience
Healthtech • Software • Biotech • Pharmaceutical
Reimagining the infrastructure of cancer care.
The Role
Develop and validate models to solve clinical problems using ML and NLP techniques. Collaborate with stakeholders to ensure high quality research outcomes. Contribute to model development projects and work on productionization and delivery.
Summary Generated by Built In

We're looking for a Machine Learning Engineer to help us accomplish our mission of improving lives by learning from the experience of every person with cancer. 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
At Flatiron, we're advancing the use of machine learning, generative AI, and natural language processing to extract clinically relevant information from unstructured medical notes for use in oncology research. The Discovery team is helping to build these next generation research data products, developing and applying ML models to capture a complete picture of the patient journey. While most of the team are Data Scientists and ML Engineers, Discovery has team members spanning 5 different fields, from data science to product management to research oncology.
As part of our team, you will develop and validate models to solve applied clinical problems and help build towards our vision of the future of machine learning at Flatiron. Engaging with a cross-functional group of stakeholders both within Discovery and across the company, you will contribute to model development projects from scoping through to productionization and delivery.
In addition, you'll also:

  • Interface with internal scientific stakeholders and customers to understand what data they need to conduct high quality research.
  • Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem.
  • Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific insights.
  • Collaborate with other Data Scientists to accelerate our ML capabilities and develop novel approaches to clinical data extraction from unstructured health records.
  • Work cross-functionally with software engineers to productionize, scale, and monitor your models.


Who You Are
You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You're a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.

  • You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP is strongly preferred.
  • You have a strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML.
  • You have collaborated with other technical team members in a production development environment using formal version control, Python, and SQL.
  • You have led cross-functional initiatives and excel at influencing decision-making without authority.


Extra Credit (Optional to add extra credit)

  • You have experience with deep learning and LLMs.
  • You have ML experience in a healthcare setting.
  • You have experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting.


If this sounds like you, you'll fit right in at Flatiron.
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 Diversity in the workplace.
Job Compensation Range
Salary Range: $139,200.00 - $208,800.00
Preferred Primary Location: NYC Headquarters
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.

Top Skills

Python
The Company
New York, NY
1,000 Employees
Hybrid Workplace
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. Flatiron.com @FlatironHealth

Why Work With Us

Be the next changemaker in cancer care.

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

Typical time on-site: 3 days a week
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