At a Glance
- Tasks: Use machine learning to transform cancer data into impactful research insights.
- Company: Flatiron Health, a healthtech leader improving lives through data.
- Benefits: Competitive salary, health benefits, and a supportive work culture.
- Other info: Join a dynamic team dedicated to advancing healthcare through innovation.
- Why this job: Make a real difference in oncology by leveraging cutting-edge technology.
- Qualifications: 3+ years in ML, experience with NLP, and a passion for problem-solving.
The predicted salary is between 36000 - 60000 £ 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.
Data Scientist, Machine Learning employer: Flatiron Health
Flatiron Health is an exceptional employer, dedicated to improving lives through innovative healthtech solutions. With a collaborative work culture that values every team member's contributions, employees enjoy opportunities for professional growth while working on meaningful projects that directly impact cancer care. Located in a dynamic environment, Flatiron offers a unique chance to engage with cutting-edge machine learning technologies and make a real difference in the oncology field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Machine Learning
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Flatiron Health!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Flatiron Health.
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We think you need these skills to ace Data Scientist, Machine Learning
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Flatiron Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Flatiron Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Flatiron Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Flatiron Health!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
