At a Glance
- Tasks: Lead groundbreaking research in ML for drug discovery and innovate with Generative AI.
- Company: Valence Labs, a pioneer in scientific discovery and machine learning.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team passionate about pushing the boundaries of science and technology.
- Why this job: Make a real difference in healthcare by advancing AI technologies in drug discovery.
- Qualifications: PhD in a related field with strong ML and generative AI expertise.
The predicted salary is between 80000 - 100000 £ per year.
We’re seeking an experienced Research Scientist to pursue bold and high-risk research endeavors supporting our mission of industrializing scientific discovery to radically improve lives. We're looking for individuals who possess the ability to own, pursue, and clearly communicate a research agenda, including carrying out long-running projects independently or in a team.
This multifaceted role combines the need for a deep understanding of state-of-the-art machine learning algorithms, exceptional problem-solving and engineering skills, and experience in the computational life sciences.
In this role, you will:
- Join one of Valence Labs' Research Units, driving ambitious frontier research within the domain of ML for drug discovery.
- Lead new research projects at the intersection of NLP, Generative AI, LLMs and drug discovery, leveraging your extensive expertise to devise, evaluate, and help deploy innovative and field-leading ML solutions.
- Collaborate with researchers and engineers both internally and externally to identify unique challenges and opportunities for ML in drug discovery.
- Work in a highly supportive, interdisciplinary environment, providing the intellectual freedom of academia with the resources and stability of industry.
- Present and communicate research findings through talks, blog posts, publications, and conferences.
A successful candidate will have most of the following:
- PhD with significant academic and industry research experience in a related technical field involving generative AI (inclusive of LLM) technologies.
- A proven track record of impactful machine learning research, including designing new models to advance the field of Generative AI and the development of novel algorithms to improve the speed and efficiency of generative AI systems, particularly in the fields of life sciences or drug discovery.
- Strong technical and engineering skills, including the ability to rapidly prototype ML solutions.
- Comfort working cross-functionally with interdisciplinary teams of dry and wet scientists.
- Experience in project supervision, leadership, or management, including lead authorship in publications at peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar) and/or journals, acting as a scientific advisor in productizing LLM systems.
Nice to have:
- Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
Valence Labs is committed to creating a diverse and inclusive environment, where understanding and accommodating personal needs and preferences is a priority. Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to industrializing scientific discovery to radically improve lives.
Senior AI Research Scientist: GenAI & Drug Discovery in London employer: Valence Labs
Valence Labs is an exceptional employer that fosters a dynamic and inclusive work culture, where innovative minds collaborate to push the boundaries of machine learning in drug discovery. Employees benefit from a supportive environment that combines the intellectual freedom of academia with the resources of industry, offering ample opportunities for professional growth and impactful research. Located in a vibrant area, Valence Labs encourages a diverse team to pursue bold scientific endeavors that aim to radically improve lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Scientist: GenAI & Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and drug discovery fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research projects, publications, and any innovative ML solutions you've developed. This is your chance to shine and demonstrate how you can contribute to the exciting work at Valence Labs.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of generative AI and its applications in drug discovery. Be ready to discuss your past projects and how they align with the mission of industrialising scientific discovery. We want to see your passion and problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Valence Labs. Don’t miss out on this opportunity to make a real impact!
We think you need these skills to ace Senior AI Research Scientist: GenAI & Drug Discovery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in generative AI, machine learning, and any relevant projects you've led. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ML for drug discovery and how your background aligns with our goals. Be sure to mention any unique challenges you've tackled in your research.
Showcase Your Research Impact:When detailing your research experience, focus on the impact of your work. Include metrics or outcomes that demonstrate how your contributions have advanced the field. We love seeing how you've made a difference!
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 shows you’re keen on joining our team at Valence Labs!
How to prepare for a job interview at Valence Labs
✨Know Your Research Inside Out
Make sure you can clearly articulate your past research projects, especially those related to generative AI and drug discovery. Be prepared to discuss the methodologies you used, the challenges you faced, and how your work has impacted the field.
✨Showcase Your Collaboration Skills
Since this role involves working with interdisciplinary teams, be ready to share examples of how you've successfully collaborated with others. Highlight any experiences where you led a project or contributed to a team effort, especially in a scientific environment.
✨Prepare for Technical Questions
Brush up on your machine learning algorithms and engineering skills. Expect technical questions that assess your understanding of state-of-the-art technologies and your ability to prototype ML solutions quickly. Practice explaining complex concepts in simple terms.
✨Communicate Your Vision
This role requires a clear research agenda, so think about your long-term goals and how they align with the company's mission. Be ready to discuss your vision for future research and how you plan to contribute to the advancement of ML in drug discovery.
