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- Tasks: Develop and maintain imaging models for rapid pathogen detection.
- Company: Dynamic biotechnology start-up focused on innovative solutions.
- Benefits: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in healthcare through cutting-edge technology.
- Qualifications: Experience in image analysis and strong Python skills required.
- Other info: On-site role for close collaboration with laboratory teams.
The predicted salary is between 30000 - 50000 £ per year.
A biotechnology company in Packmoor is seeking a Machine Learning Scientist to develop and maintain imaging-based classification models for rapid pathogen detection. The successful candidate will work closely with assay scientists and engineers, applying rigorous evaluation practices.
A background in image-based data analysis and strong Python skills are essential. Candidates will thrive in a dynamic start-up culture focused on innovative solutions. This is an on-site role, ensuring close collaboration with laboratory teams.
Imaging ML Scientist - Pathogen Diagnostics (On-Site) employer: PicturaBio
Contact Detail:
PicturaBio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Imaging ML Scientist - Pathogen Diagnostics (On-Site)
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and machine learning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for pathogen diagnostics.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and image-based data analysis techniques. Practice coding challenges and be ready to discuss your past projects, especially those related to imaging models.
✨Tip Number 3
Showcase your enthusiasm for the start-up culture! During interviews, highlight your adaptability and eagerness to contribute to innovative solutions. Companies love candidates who are excited about their mission and can thrive in dynamic environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are ready to make an impact in the field of pathogen diagnostics.
We think you need these skills to ace Imaging ML Scientist - Pathogen Diagnostics (On-Site)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with image-based data analysis and Python in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits into our dynamic start-up culture and how you can contribute to innovative solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at PicturaBio
✨Know Your Imaging Techniques
Make sure you brush up on the latest imaging techniques and classification models relevant to pathogen diagnostics. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding of the field.
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to a specific task, so practice coding challenges related to image data analysis beforehand.
✨Collaborate Like a Pro
This position requires close collaboration with assay scientists and engineers. Think of examples from your past experiences where teamwork led to successful outcomes. Highlight your communication skills and how you adapt to a dynamic start-up culture.
✨Prepare for Rigorous Evaluation Practices
Familiarise yourself with evaluation metrics and practices used in machine learning, especially in the context of pathogen detection. Be prepared to discuss how you would evaluate the performance of your models and any challenges you might face in this area.
