At a Glance
- Tasks: Lead machine-learning research and develop LLM-driven solutions for drug discovery.
- Company: Deepstreamtech, an innovative AI and healthcare company in Greater London.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Other info: Be part of a dynamic 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 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 drug discovery, while enjoying a supportive environment that values interdisciplinary teamwork. Join us to be part of a mission-driven organisation that is at the forefront of transforming healthcare through advanced technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied LLM Research Scientist for Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and healthcare sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects related to LLMs and drug discovery. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of model architectures and ML frameworks like JAX or TensorFlow. Be ready to discuss how you've applied these in past projects, as this will demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied LLM Research Scientist for Drug Discovery
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 be shy about showcasing your PhD work and any interdisciplinary projects you've been part of!
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. We love seeing candidates who can connect their research to real-world applications, so share your vision on how you can contribute to our mission.
Showcase Collaboration Skills:Since this role involves working with interdisciplinary teams, make sure to highlight any collaborative projects you've worked on. We value teamwork, so mentioning how you’ve successfully partnered with others in your research will definitely catch our eye!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Deepstreamtech
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest advancements in Large Language Models. Brush up on their applications in drug discovery and be ready to discuss specific examples where you've used them or how they can solve complex biological challenges.
✨Showcase Your Collaboration Skills
This role involves working with interdisciplinary teams, so be prepared to share experiences where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve navigated different perspectives to achieve a common goal.
✨Demonstrate Your Technical Expertise
Familiarise yourself with ML frameworks like JAX or TensorFlow. Be ready to discuss your experience with these tools, including any projects where you’ve implemented model architectures. Practical examples will show your depth of knowledge.
✨Align with Their Mission
Deepstreamtech is focused on innovating AI in healthcare. Research their recent projects and be prepared to discuss how your background and interests align with their mission. Showing genuine enthusiasm for their work can set you apart from other candidates.
