At a Glance
- Tasks: Develop and deploy machine learning models to revolutionise drug discovery.
- Company: Join GSK, a leader in biopharmaceutical innovation.
- Benefits: Competitive salary, health benefits, and opportunities for mentorship.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging AI/ML technologies.
- Qualifications: MS or BS in a scientific field with strong machine learning experience.
The predicted salary is between 60000 - 80000 £ per year.
GSK is looking for an AI/ML Engineer II to develop and deploy machine learning models, ensuring data quality and collaboration with cross-functional teams. You'll have the opportunity to make impactful changes in drug discovery by leveraging your expertise in Python and computer vision using PyTorch.
The role is suited for candidates with an MS or BS in a relevant scientific field and strong experience in machine learning. Join our team to help drive innovation in biopharmaceuticals while mentoring fellow engineers and sharing your insights.
Applied AI/ML Engineer for Drug Discovery employer: Gsk
GSK is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the future of drug discovery. With a strong emphasis on employee growth, you will have access to mentorship opportunities and professional development resources, all while working in a dynamic environment that values creativity and scientific excellence. Located in a vibrant area, GSK offers unique advantages such as a commitment to work-life balance and a diverse team dedicated to making a difference in biopharmaceuticals.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI/ML Engineer for Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field, especially those working in drug discovery. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and PyTorch. 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 your technical knowledge and soft skills. Practice common interview questions related to AI/ML and be ready to discuss your past experiences and how they relate to drug discovery.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Applied AI/ML Engineer for Drug Discovery
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and machine learning in your application. We want to see how you've used these skills in real-world projects, especially in areas like computer vision.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the job description. Mention your relevant qualifications and experiences that align with the role of an AI/ML Engineer in drug discovery.
Collaborate and Communicate:Since this role involves working with cross-functional teams, emphasise your teamwork and communication skills. Share examples of how you’ve successfully collaborated with others in past projects.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Gsk
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PyTorch skills. Be ready to discuss specific projects where you've implemented machine learning models, especially in the context of drug discovery. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you’ve contributed to team success, as this is crucial for GSK.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms and data quality assurance. Brush up on common challenges in drug discovery and be ready to discuss how you would tackle them using your expertise. This will demonstrate your problem-solving abilities.
✨Be Ready to Share Insights
GSK values mentorship and sharing knowledge. Think about experiences where you've mentored others or shared insights that led to improvements. This will show your leadership potential and commitment to fostering a collaborative environment.
