At a Glance
- Tasks: Lead machine-learning research and develop LLM-driven solutions for drug discovery.
- Company: Deepstreamtech, a pioneering company in AI and healthcare innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Other info: Be part of an interdisciplinary team tackling complex biological challenges.
- Why this job: Join us to revolutionise healthcare with cutting-edge AI technology.
- Qualifications: PhD or equivalent, strong model architecture skills, and experience with ML frameworks.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech in Greater London seeks a Research Scientist to apply Large Language Models (LLMs) in drug discovery. This role involves leading machine-learning research, collaborating with interdisciplinary teams, and developing LLM-driven approaches to complex biological and medical challenges.
Ideal candidates should hold a PhD or equivalent, possess strong skills in model architectures, and have experience with ML frameworks like JAX or TensorFlow.
Join us in our mission to innovate in the field of AI and healthcare.
Applied LLM Research Scientist for Drug Discovery in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive growth opportunities in cutting-edge AI research, particularly in the healthcare sector, while enjoying a supportive environment that values interdisciplinary teamwork and creativity. Join us to be part of a mission-driven team dedicated to transforming drug discovery through advanced technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied LLM Research Scientist for Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and healthcare sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for LLMs in drug discovery.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of model architectures and ML frameworks like JAX or TensorFlow. Be ready to discuss how you can apply your skills to tackle complex biological challenges.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant research or personal projects, make sure to highlight them. Create a portfolio that demonstrates your expertise in LLMs and their applications in drug discovery.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your enthusiasm for innovating in AI and healthcare, and let’s make a difference together!
We think you need these skills to ace Applied LLM Research Scientist for Drug Discovery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and any relevant machine-learning frameworks like JAX or TensorFlow. We want to see how your skills align with the role, so don’t hold back on showcasing your PhD work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying LLMs in drug discovery and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Collaborative Experience:Since this role involves working with interdisciplinary teams, highlight any past experiences where you collaborated with others. We’re keen to know how you’ve tackled complex challenges together and what you learned from those experiences.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Models
Make sure you brush up on the latest Large Language Models and their applications in drug discovery. Be ready to discuss specific architectures you've worked with and how they can be applied to biological challenges.
✨Showcase Your Collaboration Skills
Since this role involves working with interdisciplinary teams, prepare examples of past collaborations. Highlight how you effectively communicated complex ideas to non-experts and contributed to team success.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with ML frameworks like JAX or TensorFlow. Be prepared to discuss your hands-on experience with these tools and how you've used them to solve real-world problems in your research.
✨Align with Their Mission
Research Deepstreamtech's mission and values. During the interview, express your enthusiasm for innovating in AI and healthcare, and share how your background aligns with their goals in drug discovery.
