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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.
- 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 experience 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 43200 - 72000 £ per year.
This range is provided by BioTalent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from BioTalent
Business Manager, AI/ML recruitment at BioTalent part of the IN Group
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 practices
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Science, and Information Technology
-
Industries
Biotechnology Research, Pharmaceutical Manufacturing, and Research Services
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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 bioinformatics and computational biology. Attend relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends and challenges in the industry.
✨Tip Number 3
Prepare to showcase your collaborative skills by discussing past projects where you worked with cross-functional teams. Highlight how your contributions led to successful outcomes, as teamwork is crucial for this role.
✨Tip Number 4
Brush up on your programming skills and be ready to discuss specific algorithms or tools you've developed. Being able to articulate your technical expertise will demonstrate your readiness for the challenges of this position.
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. 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 this field.
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 DNA/RNA/protein analysis or similar areas, as this will resonate with the hiring team.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models and bioinformatics tools during the interview process. Be ready to discuss your programming skills and any software engineering practices you've implemented in past 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 non-technical stakeholders and contributed to team success.
✨Prepare for Problem-Solving Questions
Expect to tackle hypothetical scenarios related to biomolecular modelling or sequencing technologies. Practice articulating your thought process and approach to solving these challenges, as this will showcase your analytical skills.
✨Familiarise Yourself with Their Work
Research the company's recent projects and innovations in AI/ML and molecular analysis. Being knowledgeable about their work will not only impress the interviewers but also help you tailor your responses to align with their goals.
