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- Tasks: Lead AI deployment in drug discovery and design innovative production systems.
- Company: Top AI research firm in London focused on life sciences.
- Benefits: Hybrid work model, relocation assistance, and competitive salary.
- Why this job: Make a real difference in healthcare by advancing drug discovery with AI.
- Qualifications: 5+ years in software engineering, biotech or pharma experience preferred.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI research and deployment company in London seeks a Forward Deployed Engineer to advance drug discovery through AI. This role involves designing production systems and collaborating with life sciences organizations.
Candidates should have:
- Over 5 years of experience in software engineering within biotech or pharma
- Excellent communication skills
- A relevant PhD or MS is encouraged
The position offers a hybrid working model and potential relocation assistance.
Production AI Deployment Lead - Life Sciences in London employer: OpenAI
Contact Detail:
OpenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Deployment Lead - Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and AI sectors on LinkedIn. A friendly message can go a long way, and who knows, they might just point you towards your dream job!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your experience in software engineering and AI deployment. This will give you an edge during interviews and show potential employers what you're capable of.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your communication skills. Being able to articulate your thoughts clearly is crucial, especially when discussing complex topics like drug discovery.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that interview. Let’s get you started on this exciting journey!
We think you need these skills to ace Production AI Deployment Lead - Life Sciences in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, especially within biotech or pharma. We want to see how your skills align with the role of Production AI Deployment Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about advancing drug discovery through AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you can convey complex ideas simply and effectively.
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. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at OpenAI
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially as they relate to drug discovery. Be prepared to discuss specific projects you've worked on and how your contributions made a difference in the biotech or pharma sectors.
✨Showcase Your Collaboration Skills
Since this role involves working closely with life sciences organisations, be ready to share examples of successful collaborations. Highlight how you’ve effectively communicated complex technical concepts to non-technical stakeholders in the past.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Review key software engineering principles and be ready to solve problems on the spot. Practising coding challenges or system design questions can really help you shine.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s current projects or future goals in AI deployment. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
