At a Glance
- Tasks: Develop machine learning solutions for biomedical and genomic data.
- Company: Evidenzia, a leader in AI and genomics innovation.
- Benefits: Full-time contract, continuous training, and career development.
- Other info: Collaborate with experts in biology and medicine in a dynamic environment.
- Why this job: Join a cutting-edge team and make a real impact in healthcare.
- Qualifications: Degree in Computer Science or related fields; experience in Python, PyTorch, or TensorFlow.
The predicted salary is between 50000 - 70000 € per year.
Evidenzia busca un AI/ML Engineer en Londres para desarrollar soluciones de machine learning aplicadas a datos biomédicos y genómicos.
Las responsabilidades incluyen:
- Diseñar e implementar soluciones
- Investigar y desarrollar modelos de machine learning
- Entregar código robusto
- Colaborar con expertos en biología y medicina
Se requiere grado en Informática o áreas relacionadas y experiencia en Python, PyTorch o TensorFlow.
Ofrecemos un contrato a tiempo completo y formación continua.
Ingeniero/a AI/ML Clínico en Genómica (Londres) in London employer: Evidenzia
Evidenzia is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets healthcare. With a strong emphasis on employee growth through continuous training and collaboration with leading experts in biology and medicine, we empower our team to develop cutting-edge AI/ML solutions that make a real impact in genomics. Join us to be part of a forward-thinking company that values creativity, teamwork, and meaningful contributions to the field of biomedical data.
StudySmarter Expert Advice🤫
We think this is how you could land Ingeniero/a AI/ML Clínico en Genómica (Londres) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML and genomics fields on LinkedIn. A friendly message can open doors and lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biomedical data. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, PyTorch, or TensorFlow, and how you've applied these in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Ingeniero/a AI/ML Clínico en Genómica (Londres) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PyTorch, or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI/ML in genomics and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in the biomedical field.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at Evidenzia
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and TensorFlow. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies, especially in the context of machine learning for biomedical data.
✨Understand the Domain
Familiarise yourself with the basics of genomics and biomedical data. Being able to speak knowledgeably about how AI/ML can impact these fields will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems related to machine learning algorithms and be prepared to explain your thought process clearly. This will demonstrate your analytical skills and problem-solving abilities.
✨Show Your Collaborative Spirit
Since the role involves working with experts in biology and medicine, highlight any past experiences where you’ve successfully collaborated with cross-functional teams. Emphasise your communication skills and how you can bridge the gap between tech and science.
