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- Tasks: Work on cutting-edge machine learning projects in computational biology, engaging with clients and stakeholders.
- Company: Join a leading biotech firm at the forefront of AI and biology innovation.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by merging AI with biology in a collaborative and dynamic environment.
- Qualifications: MSc in Computational Science or Machine Learning; PhD preferred, with strong Python skills.
- Other info: Ideal for those passionate about advancing healthcare through technology.
The predicted salary is between 36000 - 60000 £ per year.
Requirements
Essential Qualifications:
- MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred).
- Proven experience in biological data curation, organization, and management.
- Deep understanding of computational biology tools, methodologies, and best practices.
- Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications.
- Proficient in Python programming.
- Familiarity with data processing pipelines and cloud-based computing environments.
- Strong communication skills with the ability to convey complex scientific concepts clearly.
- A customer-focused mindset with an interest in building impactful products.
- Genuine passion for the intersection of AI and Biology.
Preferred Qualifications:
- Industry experience in biotechnology or pharmaceuticals, especially in internal or client-facing roles.
- Contributions to open-source projects in computational biology.
- Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization.
- Track record of scientific publications in machine learning or computational biology.
- Experience in therapeutic or diagnostic development programs.
Contact Detail:
Skills Alliance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Facing Machine Learning Scientist
✨Tip Number 1
Network with professionals in the biotechnology and pharmaceuticals sectors. Attend industry conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends in computational biology and machine learning.
✨Tip Number 2
Showcase your passion for AI and biology by engaging in relevant projects or contributing to open-source initiatives. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss real-world applications of machine learning in biology during interviews. Be ready to share examples of how you've used Python and other tools to solve complex problems, as this will highlight your practical experience.
✨Tip Number 4
Develop your communication skills by practising explaining complex scientific concepts to non-experts. This will be crucial in a customer-facing role, where you'll need to convey technical information clearly and effectively.
We think you need these skills to ace Customer Facing Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in Computational Science or Machine Learning, along with any relevant experience in biological data curation and management. Emphasise your proficiency in Python and any industry experience in biotechnology or pharmaceuticals.
Craft a Compelling Cover Letter: In your cover letter, express your genuine passion for the intersection of AI and Biology. Discuss how your skills and experiences align with the job requirements, particularly your understanding of computational biology tools and methodologies.
Showcase Relevant Projects: If you have contributed to open-source projects or have a track record of scientific publications, make sure to mention these in your application. Highlight any advanced ML techniques you are familiar with, such as Transformer architectures or Bayesian Optimization.
Prepare for Technical Questions: Be ready to discuss your experience with data processing pipelines and cloud-based computing environments. Think about how you can convey complex scientific concepts clearly, as strong communication skills are essential for this role.
How to prepare for a job interview at Skills Alliance
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python programming and machine learning techniques. Highlight specific projects where you've applied these skills, especially in the context of computational biology.
✨Communicate Complex Concepts Clearly
Since strong communication skills are essential for this role, practice explaining complex scientific concepts in simple terms. This will demonstrate your ability to convey information effectively to both technical and non-technical audiences.
✨Demonstrate Your Customer-Focused Mindset
Think about how your work can impact customers and the products they use. Be ready to share examples of how you've previously engaged with clients or stakeholders to understand their needs and deliver solutions.
✨Prepare for Questions on Advanced Techniques
Familiarise yourself with advanced machine learning techniques mentioned in the job description, such as Transformer architectures or Bayesian Optimization. Be ready to discuss how you might apply these in real-world scenarios within the field of biotechnology.
