At a Glance
- Tasks: Lead data science and AI initiatives, shaping the future of soil genomics.
- Company: Join an innovative AI-native agbio start-up in London.
- Benefits: Competitive salary, EMI share options, and hybrid work model.
- Other info: Opportunity to build and lead a dynamic team in a fast-growing company.
- Why this job: Be a pioneer in a groundbreaking field with real-world impact.
- Qualifications: PhD preferred; experience with genomic data and deep learning required.
The predicted salary is between 75600 - 92400 £ per year.
Cubiq is exclusively partnered with an AI-native agbio start-up decoding how soil works. The company combines genomic foundation models with its own molecular biology wet lab to model soil as a living biological system. It sells that insight to crop science R&D teams. It has just signed its first multi-year deal with a global crop science major. It is part of NVIDIA’s Inception programme and is scaling up its platform. It’s now hiring its first Data Science & AI Lead to own the function and build the team around it.
What you’ll do:
- Lead the data science and AI function, reporting to the CTO
- Bring genomic foundation models into the platform: evaluate new models, interpret their representations and integrate them with other data (for example through VAEs and multi-modal approaches)
- Turn complex soil genomics and multi-omics data into models that customers use
- Work closely with the bioinformatics and wet lab teams to design experiments and validate results
- Shape the team’s work and objectives, and grow a small team of data scientists and ML engineers
- Set the technical direction for how AI is used across the business
What you’ll bring:
- A strongly quantitative background. A PhD in a quantitative field is preferred
- Deep experience working with complex genomic data. Human health, plant, microbiome or soil backgrounds are all welcome
- Hands-on experience applying deep learning or foundation models to biological sequence data (PyTorch or similar)
- The ability to lead and shape other people’s work. First-time leads stepping up from a senior role are welcome
- The right to work in the UK
What’s on offer:
- A founding leadership role in one of the least explored areas of biology
- A competitive base salary plus meaningful EMI share options (flexibility for exceptional candidates)
- London hybrid, 2 days a week in the office
- A short process: a call with the head of bioinformatics, then a scenario-based technical conversation with the CTO, then a meeting with the CEO
Data Science & AI Lead employer: Cubiq Recruitment
Join a forward-thinking company in Dover, Kent, where as a Mechanical Design Engineer, you'll be part of a collaborative team dedicated to innovation in electromechanical products. Enjoy a supportive work culture that prioritises employee growth with training opportunities, flexible working arrangements, and a comprehensive benefits package including private healthcare and generous holiday allowances. This is an excellent opportunity for those seeking meaningful work in a dynamic environment that values creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & AI Lead
✨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 Cubiq Recruitment!
✨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 Science & AI Lead at Cubiq Recruitment.
✨Leverage Professional Networks
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 Cubiq Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science & AI Lead at Cubiq Recruitment, 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 Data Science & AI Lead
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 Cubiq Recruitment, 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 Cubiq Recruitment. 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 Cubiq Recruitment
✨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 Cubiq Recruitment!
✨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.
