Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop machine learning models for molecular analysis and collaborate with scientists.
- Company: Join a leading R&D team at the forefront of AI/ML innovation in biological data.
- Benefits: Enjoy competitive salary, performance bonuses, private healthcare, and a generous pension scheme.
- Why this job: Make a real impact in DNA/RNA/protein analysis while working in a collaborative environment.
- Qualifications: PhD or equivalent in Computational Biology, Computer Science, or Bioinformatics required.
- Other info: Work in a stunning campus with a strong mission-led culture.
The predicted salary is between 42000 - 84000 £ per year.
Overview
Business Manager, AI/ML recruitment at BioTalent part of the IN Group. We’re looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.
This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.
What you’ll do
- Design and develop novel ML models and algorithms.
- Apply deep learning and generative modelling to complex scientific problems.
- Collaborate with experts across biology, chemistry, physics, and engineering.
- Analyse, tune, and optimise experimental results.
- Depending on experience: lead projects, mentor others, and shape research strategy.
What you’ll bring
- PhD (or equivalent experience) in ML, computer science, or a related field.
- Proven expertise in deep learning research and model development.
- Strong knowledge of mathematics (linear algebra, calculus, statistics).
- Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
- A passion for applying ML to real-world scientific challenges.
Nice to have
- Experience working with biological or chemical data.
- Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
- Contributions to publications, research projects, or open-source ML.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Science, Research, and Engineering
Industries
- Biotechnology Research
- Research Services
- Pharmaceutical Manufacturing
#J-18808-Ljbffr
Machine Learning Researcher employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning techniques, especially those relevant to molecular analysis. This will not only enhance your understanding but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the field of computational biology and bioinformatics. Attend conferences or webinars where you can meet potential colleagues and learn about their work, which could give you insights into the company’s projects.
✨Tip Number 3
Prepare to showcase your collaborative skills by thinking of examples from your past experiences where you worked in interdisciplinary teams. Highlighting these experiences can demonstrate your fit for the highly collaborative environment at StudySmarter.
✨Tip Number 4
Brush up on your programming skills, particularly in languages commonly used in machine learning and bioinformatics. Being able to discuss your coding experience confidently can set you apart from other candidates.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computational biology, and any specific projects related to biomolecular modelling or bioinformatics. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and its applications in molecular analysis. Mention specific experiences that demonstrate your ability to collaborate with cross-functional teams and your understanding of the challenges in DNA/RNA/protein analysis.
Showcase Your Research Experience: If you have published research or developed algorithms, summarise these achievements clearly. Highlight how your work has contributed to advancements in the field and how it relates to the responsibilities outlined in the job description.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models, programming skills, and software engineering best practices. Be ready to discuss your approach to problem-solving and how you would apply your knowledge to the company's projects.
How to prepare for a job interview at BioTalent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models and algorithms in detail. Highlight specific projects where you've applied these techniques, especially in the context of molecular analysis or bioinformatics.
✨Demonstrate Collaboration Skills
Since the role involves working closely with scientists and engineers, share examples of past collaborations. Discuss how you effectively communicated complex ideas to both technical and non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think about challenges you've encountered in previous roles and how you approached them, particularly in relation to biomolecular modelling or algorithm deployment.
✨Research the Company’s Projects
Familiarise yourself with the company's current research and projects in DNA/RNA/protein analysis. This will not only show your interest but also allow you to ask insightful questions during the interview.
