At a Glance
- Tasks: Develop innovative ML methods for drug discovery using scarce high-quality data.
- Company: Lila Sciences, a leader in integrating AI with scientific research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to transforming the future of medicine.
- Why this job: Make a real difference in healthcare by advancing drug discovery through cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for scientific research.
The predicted salary is between 63000 - 77000 £ per year.
Lila Sciences is seeking a Machine Learning Scientist to develop data-efficient methods for drug discovery, focusing on learning from scarce high-quality data and guiding data acquisition.
You will build models across active learning, meta-learning, and uncertainty estimation, integrating diverse data types to inform experimental decisions.
The role connects model training with scientific decisions, designing plans that help chemists and biophysicists prioritize compounds and experiments.
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Data-Efficient ML Scientist for Drug Discovery in Cambridge employer: Lilasciences
At Lila Sciences, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Principal or Principal Software Engineer in our AI Lab Execution System team, you will have the opportunity to lead cutting-edge projects that directly impact scientific discovery while enjoying comprehensive benefits, flexible time off, and a commitment to employee growth through mentorship and educational assistance. Join us in a dynamic environment where your contributions will shape the future of AI in science, all while working alongside passionate professionals dedicated to solving humanity's greatest challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data-Efficient ML Scientist for Drug Discovery in Cambridge
✨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 Lilasciences!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data-Efficient ML Scientist for Drug Discovery at Lilasciences.
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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 Lilasciences.
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We think you need these skills to ace Data-Efficient ML Scientist for Drug Discovery in Cambridge
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 Lilasciences, 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 Lilasciences. 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 Lilasciences
✨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 Lilasciences!
✨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.
