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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 £ per year.
Data Scientist, Machine Learning at Flatiron Health
Overview
Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. We are an independent affiliate of the Roche Group.
What You’ll Do
At Flatiron, we are 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 next‑generation research data products, developing and applying ML models to capture a complete picture of the patient journey.
- Interface with internal scientific stakeholders and customers to understand data needs for high‑quality research.
- Build models to turn raw clinical data into high‑quality research variables, using LLMs, traditional ML, and NLP techniques.
- Collaborate with quantitative scientists and oncologists to validate models for sound scientific insights.
- Work cross‑functionally with software engineers to productionize, scale, and monitor models.
Who You Are
- 3+ years of relevant technical experience focused on ML, with strong NLP and LLM background preferred.
- Solid grasp of statistical fundamentals of ML and experience solving real‑world problems.
- Experience with version control, Python, and SQL in a production development environment.
- Excited to work in a startup environment, creative, and scrappy to get the job done.
Extra Credit
- ML or LLM experience in a healthcare setting.
- Experience with bias, health equity research or work with underrepresented groups in clinical research.
Who We Are
Our people are at the center of everything we do. We foster a culture where teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit the Life at Flatiron page to learn more.
Referrals increase your chances of interviewing at Flatiron Health by 2x.
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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.
