At a Glance
- Tasks: Design and evaluate deep learning models on unique biomedical data to predict drug responses.
- Company: Cutting-edge AI biology lab focused on immune disease research.
- Benefits: Competitive salary up to £200k, significant autonomy, and impactful work.
- Other info: Work in a dynamic environment with opportunities for rapid career growth.
- Why this job: Join a small, ambitious team and make a real difference in healthcare.
- Qualifications: Expertise in machine learning, experience with high-dimensional biomedical data, and strong problem-solving skills.
The role
This is an AI biology lab building world models of immune disease.
They generate proprietary biological and clinical data directly from patients, training models to simulate disease and predict drug response.
Current autoimmune therapies see response rates as low as 10-20%; this team is tackling that directly.
They're backed by leading investors and have access to petabytes of unique biomedical data and significant compute.
You’ll be an early technical hire, designing, training, and evaluating deep learning models on high-dimensional molecular and clinical datasets.
This isn’t just about building models in notebooks; you’ll own the training infrastructure, develop biological evaluation frameworks, and help define the technical stack.
Expect significant autonomy and a direct impact on the research direction of a small, intense team.
- The work
- Design, train, and evaluate deep learning models on petabytes of high-dimensional molecular and clinical patient data.
- Build and scale the core training infrastructure, enabling rapid experimentation for a small, ambitious team.
- Develop novel evaluation frameworks for biological prediction, moving beyond standard ML metrics.
- Help define the technical stack and research standards for an early-stage AI biology lab.
- Contribute to systems that reason over complex biological data, generate hypotheses, and improve through feedback loops.
What You Bring
- Elite ML/DL depth: a first-principles understanding and experience building/evaluating research-grade models.
- Proven ability to design experiments, diagnose failure modes, and drive solutions autonomously.
- Experience building robust training infrastructure that enables rapid iteration, not just notebook-based models.
- Strong preference for experience with high-dimensional biomedical data (e. g., single-cell, transcriptomics, clinical trial datasets).
- Willingness to work from the Liverpool Street office five days a week.
- #J-18808-Ljbffr
Member of Technical Staff (up to £200k) employer: Dex
Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (up to £200k)
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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 Dex.
✨Apply Directly through Our Website
When you find a suitable opening like Member of Technical Staff (up to £200k) at Dex, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Member of Technical Staff (up to £200k)
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 Dex, 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 Dex. 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 Dex
✨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 Dex!
✨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.
