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- Tasks: Design and develop advanced deep learning models for biological data.
- Company: Ambitious early-stage biotech company focused on machine learning and genomics.
- Benefits: Flexible working hours, strong learning environment, and dedicated development time.
- Other info: Collaborate closely with senior leadership and science teams.
- Why this job: Tackle challenging problems with real impact and intellectual ownership.
- Qualifications: PhD in Machine Learning or related field, strong Python and PyTorch skills.
The predicted salary is between 50000 - 70000 £ per year.
We’re partnering with an ambitious early-stage biotech company applying advanced machine learning to complex biological problems. This is a research-driven role for someone who wants to work on genuinely challenging problems at the intersection of deep learning and genomics.
You’ll work directly with senior technical leadership, contributing to the development of next-generation models and research frameworks.
What you’ll be doing:
- Designing and developing advanced deep learning models for biological data
- Working with sequence-based and multimodal datasets
- Exploring new architectures, training strategies, and evaluation approaches
- Contributing to longer-term research directions (including foundation models)
- Collaborating closely with bioinformatics and science teams
What we’re looking for:
- PhD in Machine Learning, AI, or a related field
- Strong experience with Python and PyTorch (or JAX)
- Track record of independent research (publications, thesis, or equivalent)
- Experience designing and training complex neural networks (e.g. transformers)
- Strong experimental and problem-solving mindset
Nice to have:
- Experience working with biological or sequence data
- Exposure to large-scale or foundation model training
- Interest in applying ML to real-world scientific problems
Why this role:
- A genuinely research-led position with real influence
- Work on problems where the answers are not known
- Close collaboration with senior technical leadership
- Strong learning environment with dedicated development time
- Flexible working (4 or 5 day week)
If you’re motivated by hard problems, real impact, and intellectual ownership, this is one to explore.
Science researcher in Edinburgh employer: Kleboe Jardine Ltd
Contact Detail:
Kleboe Jardine Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Science researcher in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and machine learning fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews – it’s all about making connections that could lead to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning models or biological data. This is your chance to demonstrate your expertise and problem-solving mindset, so make sure it’s easily accessible when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your past research experiences in detail. We want to see how you think and approach complex problems, so be confident in sharing your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team. So, get your application in and let’s make some impact together!
We think you need these skills to ace Science researcher in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant research you've done. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and PyTorch expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about this role. Share your excitement for tackling complex biological problems and how your background makes you a perfect fit for our team.
Showcase Your Research: If you have publications or a thesis, make sure to mention them! We love seeing a track record of independent research, so include any relevant projects that demonstrate your problem-solving mindset and experimental skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our ambitious team!
How to prepare for a job interview at Kleboe Jardine Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and deep learning models, especially those relevant to biological data. Be ready to discuss your previous research and how it relates to the role, as well as any publications or projects that showcase your expertise.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and PyTorch (or JAX). You might be asked to solve a coding problem or explain your approach to designing complex neural networks, so practice articulating your thought process clearly and confidently.
✨Think Like a Researcher
This is a research-led role, so come prepared with questions about the company's current projects and future directions. Show your curiosity and willingness to explore new architectures and training strategies, and be ready to discuss how you can contribute to their long-term research goals.
✨Collaborate and Communicate
Since you'll be working closely with bioinformatics and science teams, highlight your collaborative experiences. Share examples of how you've successfully worked in teams, tackled complex problems, and communicated your findings effectively to both technical and non-technical audiences.