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- Tasks: Develop ML models and design systems that merge biology with cutting-edge technology.
- Company: VC-backed biotech startup focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team and make a real impact in biotechnology.
- Why this job: Shape the future of synthetic genomics while working with passionate scientists.
- Qualifications: BSc or MSc in engineering, solid ML experience, and a curiosity for biology.
The predicted salary is between 50000 - 70000 £ per year.
A VC-backed biotechnology startup is looking for an ML engineer to develop production systems that bridge biology and machine learning. You will implement state-of-the-art models, design experimentation infrastructures, and refine processes in a collaborative environment.
The ideal candidate has:
- A BSc or MSc in an engineering field
- Solid ML experience
- A deep curiosity about biology
This is an exciting opportunity to shape the future of synthetic genomics and work closely with experimental scientists.
ML Engineer for Genomics & Biofactories — Production Systems employer: Constructive Bio
Contact Detail:
Constructive Bio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer for Genomics & Biofactories — Production Systems
✨Tip Number 1
Network like a pro! Reach out to people in the biotech and ML fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to biology or production systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and biological concepts. Be ready to discuss how you can bridge the gap between machine learning and experimental science, as that’s key for this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in synthetic genomics. Your dream job could be just a click away!
We think you need these skills to ace ML Engineer for Genomics & Biofactories — Production Systems
Some tips for your application 🫡
Show Your Passion for Biology: When writing your application, let your enthusiasm for biology shine through. We want to see how your curiosity about the field drives your work in machine learning and how you can bridge the gap between these two exciting areas.
Highlight Relevant Experience: Make sure to showcase any solid ML experience you've got. Whether it's projects, internships, or coursework, we want to know how you've applied your skills in real-world scenarios, especially in relation to production systems.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our specific job description. Mention how your background aligns with the role of an ML engineer in genomics and biofactories.
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 this exciting opportunity to shape the future of synthetic genomics!
How to prepare for a job interview at Constructive Bio
✨Know Your ML Models
Make sure you brush up on the latest machine learning models relevant to genomics. Be ready to discuss how you've implemented these in past projects and how they can be applied to production systems in a biotech context.
✨Show Your Curiosity About Biology
Since this role bridges biology and machine learning, demonstrate your interest in biological concepts. Prepare to discuss any relevant coursework or personal projects that showcase your understanding of biological systems.
✨Collaborative Mindset
This position involves working closely with experimental scientists, so highlight your teamwork skills. Think of examples where you've successfully collaborated on projects, especially in interdisciplinary teams.
✨Prepare Questions
Have insightful questions ready about the company's vision for synthetic genomics and how they see the ML engineer's role evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.