At a Glance
- Tasks: Develop and validate ML models to enhance cancer care through data-driven insights.
- Company: Join Flatiron Health, a healthtech leader transforming oncology with innovative data solutions.
- Benefits: Enjoy a collaborative culture, flexible work options, and the chance to make a real impact.
- Why this job: Be a changemaker in cancer care, working with diverse teams on meaningful projects.
- Qualifications: 3+ years in ML, experience with NLP, and a passion for solving real-world problems.
- Other info: Opportunity to work in a startup environment with a focus on health equity.
The predicted salary is between 43200 - 72000 £ per year.
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.
Machine Learning Engineer (London) employer: Flatiron Health
Contact Detail:
Flatiron Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in healthcare. Understanding how ML and NLP are being applied in oncology will not only enhance your knowledge but also demonstrate your genuine interest in the field during discussions.
✨Tip Number 2
Network with professionals in the healthtech industry, especially those working with data science and machine learning. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences at companies like Flatiron Health.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied ML and NLP techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research Flatiron Health's mission and values thoroughly. Tailor your conversations to reflect how your personal goals align with their mission to improve cancer care, which will help you stand out as a candidate who is genuinely passionate about their work.
We think you need these skills to ace Machine Learning Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, natural language processing, and any relevant projects. Use keywords from the job description to demonstrate that you meet the specific requirements Flatiron Health is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for improving cancer care through technology. Mention specific experiences where you've successfully applied ML or NLP techniques to solve real-world problems, and express your enthusiasm for the role at Flatiron.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your skills in machine learning and data science. Highlight any work related to healthcare or oncology, as this will resonate with Flatiron's mission and values.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models, NLP techniques, and data validation processes. Be ready to discuss your previous work and how it aligns with the responsibilities outlined in the job description.
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 skills to real-world problems, especially in a healthcare context.
✨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 background and values align with their goals. This shows genuine interest and commitment to their cause.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you handle feedback and work towards common goals, as this will highlight your teamwork skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the challenges they face in machine learning applications. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.