At a Glance
- Tasks: Lead AI development to transform processes and enhance meaningful work at Regeneron.
- Company: Join Regeneron, a leader in pharmaceuticals with a focus on innovation and collaboration.
- Benefits: Enjoy comprehensive health benefits, fitness perks, equity awards, and generous paid time off.
- Why this job: Make a real impact by integrating AI into healthcare and life sciences.
- Qualifications: Expertise in AI, machine learning, and programming; experience in healthcare datasets is essential.
- Other info: Dynamic team environment with opportunities for growth and travel.
The predicted salary is between 100000 - 150000 £ per year.
Global Development (GD) is embarking on a digital transformation project that will incorporate AI, machine learning, and automation into our processes to help us reduce cycle times, improve quality, and allow us to focus on more meaningful work. This position will play a key role in developing the platforms, processes and technologies that will incorporate AI effectively across GD. The AI engineer will work with a team of engineers and scientists to help bring transformative change to GD.
The role will encompass a wide range of AI/ML‑related activities, from data engineering and technical development to optimizing vendor systems for use at Regeneron to mentoring colleagues in best practices for adopting AI in their everyday workflows. Development will not necessarily be limited to the use of generative AI, but may also include technical implementation of machine learning models, natural language processing, and other approaches. The engineer will work with stakeholders across GD and Regeneron (e.g. enterprise IT, commercial, research, etc.) to develop solutions and architectures that not only address GD’s needs but also integrate into the overall corporate strategy.
As a Senior Manager, a typical day may include:
- Implementing and refining novel algorithms and scalable AI/ML solutions tailored to GD applications such as clinical trial design, regulatory intelligence, patient identification and stratification.
- Deploying these solutions to production environments as appropriate, including hands‑on development and coding.
- Developing, implementing, and improving data architecture and engineering approaches for diverse data sources across GD.
- Contributing to initiatives with GDIT and enterprise IT to build the necessary infrastructure (software and hardware) to support advanced analytics.
- Collaborating with GD colleagues to help them approach AI/ML more effectively.
- Establishing rigorous validation frameworks for AI models and monitoring existing models for accuracy and efficiency.
- Staying up to date with the latest advances in the field and evaluating them for adoption at Regeneron.
To be considered for this opportunity, you must have the following:
- Deep understanding of generative AI, machine learning, natural language processing, and statistical modeling.
- Deep expertise in programming (Python, R, etc.), with a focus on applying advanced technical skills to data analysis, pipeline creation, automation, and software development.
- Expertise in database platforms and cloud computing infrastructure.
- Track record of model development, implementation to scale, maintenance, and evaluation in a healthcare or life sciences setting.
- Experience managing and analyzing large‑scale clinical datasets.
- Excellent communication skills, both technical and non‑technical.
- Experience managing multiple projects.
- Experience working in cross‑functional teams.
- May require travel up to 20%.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.
Senior Manager, Global Development- AI Engineer in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Global Development- AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Regeneron or similar companies. A friendly chat can lead to insider info about the role and even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI/ML knowledge. Be ready to discuss your past projects and how they relate to the job description. Show us you’re not just a tech whiz but also a great communicator!
✨Tip Number 3
Don’t forget to showcase your leadership skills! As a Senior Manager, you’ll need to demonstrate how you’ve successfully managed teams and projects in the past. Share specific examples that highlight your experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Regeneron. Let’s make it happen!
We think you need these skills to ace Senior Manager, Global Development- AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI, machine learning, and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role requires deep expertise in programming and data analysis, be sure to include specific examples of your work with Python, R, or any other relevant technologies. We love seeing hands-on experience, so share those coding triumphs!
Communicate Clearly: Your application should reflect excellent communication skills, both technical and non-technical. We’re looking for clarity and conciseness, so make sure your writing is easy to follow and free of jargon where possible.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI Inside Out
Make sure you have a deep understanding of generative AI, machine learning, and natural language processing. Brush up on your programming skills in Python or R, as you'll likely be asked to demonstrate your technical expertise during the interview.
✨Showcase Your Project Management Skills
Be prepared to discuss your experience managing multiple projects and working in cross-functional teams. Highlight specific examples where you've successfully led initiatives that involved AI/ML solutions, as this will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect to face technical questions related to data architecture, model development, and validation frameworks. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advances in AI and machine learning. Be ready to discuss how these trends could be applied at Regeneron, showing that you're not just knowledgeable but also forward-thinking and innovative.