Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist, Machine Learning

Flatiron Health
London
2 weeks ago
Create job alert

We’re looking for a Data Scientist, Machine Learning 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 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 Machine Learning EngineersData 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.

Extra Credit

  • You have ML or LLM 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.

Who We Are

Our people are at the center of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit theLife at Flatironpage to learn more.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist - Bonds

Data Scientist Devi Technologies

Data Scientist (ML, Speech, NLP & Multimodal Expertise) | Manchester

Senior Data Scientist

Data Scientist (ML, Speech, NLP & Multimodal Expertise) | London

Sr. Data Scientist with GCP and Machine Learning to support out telecom client’s effort to analyze customer behavior and automate business insight processes with AI. - 8932

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.