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- Tasks: Join our team to develop cutting-edge machine learning algorithms for enzyme discovery and engineering.
- Company: Scindo is revolutionizing enzyme engineering with innovative, sustainable solutions for various industries.
- Benefits: Enjoy a full-time role in central London with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Be part of a pioneering team at the intersection of biology, chemistry, and data science.
- Qualifications: Strong programming skills in Python; experience with ML frameworks like PyTorch or TensorFlow is a plus.
- Other info: We're looking for passionate problem solvers eager to make an impact in bioinformatics.
The predicted salary is between 30000 - 42000 £ per year.
Scindo Greater London, England, United Kingdom
Machine Learning Scientist
Scindo is a full-stack enzyme engineering company, involved in the discovery, characterization, engineering and commercialization of innovative enzymes. We work on highly novel and unique enzyme systems that enable cell-free and co-factor free carbon-chain functionalisations unlocking sustainable feedstocks for a broad range of industries. We deploy cutting edge AI guided enzyme design to create novel functionality and industrially viable biocatalysts.
The Role
Scindo is looking for a highly driven and talented machine learning scientist to join our computational team, based in Scindo\’s lab in central London. The position will work on Scindo\’s enzyme discovery and engineering platform, and be involved in a broad range of tasks from architecture and algorithm development, to feature selection & engineering.
The candidate must have an exceptional data and programming background with rich experience in training, developing and implementing machine learning algorithms, with a strong desire to work on the next generation of bioinformatics and biocatalysis predictive tools.
- Background in Python and experience with PyTorch; TensorFlow and/or JAX is a bonus, as well as knowledge of other programming languages
- Data preparation: feature selection, engineering, and data cleaning
- ML algorithm development and knowledge of fundamental ML algorithms – e.g. classification, regression, clustering etc.
- Custom model and component R&D
- Strong understanding of different evaluation metrics to assess model performance across domains
Bonus Criteria
If you are a highly driving problem solver with a passion for the intersect between biology, chemistry and data, we want to hear from you! Please apply with a cover letter.
Seniority level
- Entry level
Employment type
- Full-time
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Machine Learning Scientist employer: Scindo
Contact Detail:
Scindo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in enzyme engineering and machine learning. This will not only help you understand Scindo's work better but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Engage with the machine learning community by attending webinars or joining forums. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source projects related to machine learning. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific machine learning algorithms and their applications in bioinformatics. Being able to articulate how these algorithms can be applied to enzyme discovery will demonstrate your expertise and enthusiasm for the role.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Scientist position at Scindo. Understand the key responsibilities and required skills, especially in machine learning algorithms and programming languages like Python.
Tailor Your Cover Letter: Craft a compelling cover letter that highlights your relevant experience in machine learning and bioinformatics. Mention specific projects or achievements that demonstrate your skills in algorithm development and data preparation.
Showcase Your Technical Skills: In your CV, emphasize your technical skills related to machine learning, such as experience with PyTorch, TensorFlow, or JAX. Include any relevant coursework or projects that showcase your programming abilities and understanding of evaluation metrics.
Proofread Your Application: Before submitting your application, carefully proofread your cover letter and CV. Ensure there are no grammatical errors and that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Scindo
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and programming languages, especially Python. Highlight any projects where you've implemented ML algorithms, and be ready to explain your approach to feature selection and data preparation.
✨Demonstrate Problem-Solving Abilities
Scindo values candidates who are driven problem solvers. Prepare examples of challenges you've faced in previous projects and how you overcame them, particularly in the context of bioinformatics or biocatalysis.
✨Familiarize Yourself with Scindo's Work
Research Scindo's enzyme engineering and AI-guided design processes. Understanding their unique approach will allow you to ask insightful questions and demonstrate your genuine interest in their work during the interview.
✨Prepare for Technical Questions
Expect technical questions related to machine learning concepts, such as classification, regression, and clustering. Brush up on evaluation metrics and be ready to discuss how you assess model performance across different domains.
