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Machine Learning Engineer

EXTRA PARENTAL LEAVE - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
New York (USA), United States

Offer summary

Qualifications:

3+ years of experience in ML, Experience with NLP preferred, Strong grasp of ML statistical fundamentals, Experience with version control, Python, SQL, Experience in healthcare is a plus.

Key responsabilities:

  • Develop and validate models for clinical problems
  • Interface with scientific stakeholders for data needs
  • Build models to turn raw clinical data into research variables
  • Validate models with quantitative scientists and oncologists
  • Collaborate with engineers for model productionization
Flatiron Health logo
Flatiron Health Information Technology & Services Large https://www.flatiron.com/
1001 - 5000 Employees
See more Flatiron Health offers

Job description

Logo Jobgether

Your missions

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • collaboration
  • communication

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