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- 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.
We are hiring for a Machine Learning Researcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machine learning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help shape next-generation tools and approaches for analysing complex biological data. This Role Will Offer You: The chance to work at the forefront of scientific research and AI/ML innovation A highly collaborative, interdisciplinary team environment The opportunity to contribute to impactful projects in DNA/RNA/protein analysis A competitive salary and comprehensive benefits including performance bonuses, private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machine learning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore and bioinformatics applications Present research findings clearly to both technical and non-technical stakeholders Contribute to the deployment of robust, user-facing tools and pipelines You Will Need: A PhD (or equivalent experience) in a relevant field such as Computational Biology, Computer Science, Bioinformatics or similar Strong knowledge of biomolecular modelling, structural prediction, small molecule docking and/or biomolecule design Experience in prototyping and deploying algorithms in a scientific or engineering context Excellent communication and collaboration skills Strong programming skills and familiarity with software engineering best practices41bf1e1f-b16b-4260-a40a-17c77a06fd15
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.
