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- Tasks: Develop and validate machine learning models to improve cancer care.
- Company: Flatiron Health is a healthtech company transforming cancer treatment through data.
- Benefits: Enjoy a collaborative environment, flexible work options, and the chance to make a real impact.
- Why this job: Join a mission-driven team using cutting-edge technology to change lives in oncology.
- Qualifications: 3+ years in ML, experience with NLP and LLMs preferred, strong problem-solving skills.
- Other info: Opportunity to work cross-functionally with experts in various fields.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Join to apply for the Machine Learning Engineer role at Flatiron Health
Join to apply for the Machine Learning Engineer role at Flatiron Health
We’re looking for a Machine Learning Engineer 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?
Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.
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 Data Curation 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
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 across our teams in Europe, Japan, and the US 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 and LLMs 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 are excited to work in a startup environment, think creatively and be scrappy to get the job done. You have a nose for value and empathy for your customers
- You have collaborated with other technical team members in a production development environment using formal version control, Python, and SQL.
Optional:
- 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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Machine Learning Engineer employer: Flatiron Health
Contact Detail:
Flatiron Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Flatiron Health's mission and values. Understanding their focus on improving cancer care through data will help you align your answers during interviews and demonstrate your passion for the role.
✨Tip Number 2
Network with current or former employees of Flatiron Health on platforms like LinkedIn. Engaging in conversations can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Stay updated on the latest trends in machine learning, NLP, and healthcare technology. Being able to discuss recent advancements or case studies during your interview can showcase your expertise and enthusiasm for the field.
✨Tip Number 4
Prepare to discuss specific projects where you've applied machine learning or NLP techniques. Be ready to explain your thought process, the challenges you faced, and how your solutions made an impact, as this will highlight your practical experience.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Machine Learning Engineer position at Flatiron Health. Understand the key responsibilities and required skills, especially in ML, NLP, and LLMs.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning and natural language processing. Include specific projects or achievements that demonstrate your ability to solve real-world problems using these technologies.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for improving cancer care through technology. Mention how your background aligns with Flatiron's mission and how you can contribute to their goals in data curation and model development.
Showcase Collaboration Skills: In your application, emphasise your experience working in cross-functional teams. Highlight any collaborative projects with data scientists, software engineers, or oncologists, as this is crucial for the role at Flatiron Health.
How to prepare for a job interview at Flatiron Health
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, natural language processing, and large language models. Bring examples of projects you've worked on that demonstrate your ability to apply these technologies to real-world problems.
✨Understand the Company’s Mission
Flatiron Health is focused on improving cancer care through data. Familiarise yourself with their mission and be ready to explain how your skills and experiences align with their goals in transforming oncology research.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others, especially in a technical environment. Highlight your communication skills and how you handle feedback.
✨Discuss Ethical Considerations
Given the healthcare context, be ready to talk about the ethical implications of machine learning, such as bias and health equity. Show that you understand the importance of these issues in developing ML models for clinical applications.
