At a Glance
- Tasks: Develop machine learning solutions for biomedical and genomic data.
- Company: Evidenzia, a forward-thinking company in the heart of London.
- Benefits: Full-time contract, continuous training, and a chance to work on impactful projects.
- Other info: Collaborate with experts in biology and medicine in a dynamic environment.
- Why this job: Join a team that merges tech with healthcare to make a real difference.
- 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) employer: Evidenzia
Evidenzia is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets healthcare. With a strong commitment to employee development through continuous training and collaboration with leading experts in biology and medicine, we empower our team to make meaningful contributions to the field of genomics. Join us to be part of a forward-thinking company that values creativity and fosters professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Ingeniero/a AI/ML Clínico en Genómica (Londres)
✨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 referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biomedical data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, PyTorch, and TensorFlow skills. Practice coding challenges and be ready to discuss your past projects in detail – they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Ingeniero/a AI/ML Clínico en Genómica (Londres)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your Python, PyTorch, or TensorFlow expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML in genomics and how you can contribute to our team. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Projects:If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see your practical experience and creativity in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Evidenzia
✨Know Your Tech
Make sure you brush up on your Python, PyTorch, and TensorFlow skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Domain
Since this role involves biomedical and genomic data, take some time to familiarise yourself with the basics of genomics and how machine learning is applied in this field. This will show your genuine interest and help you connect better with the interviewers.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problems during the interview. Practice coding challenges related to machine learning and be prepared to explain your thought process clearly. This will demonstrate your analytical skills and ability to work under pressure.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so think of examples where you've worked with others, especially in interdisciplinary teams. Highlight how you communicated complex ideas to non-technical colleagues, as this will be crucial when working with experts in biology and medicine.
