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.
- Why this job: Make a real difference in lives through cutting-edge research and technology.
- Qualifications: PhD in a related field with strong ML and generative AI experience.
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 Research Scientist - Large Language Models & Generative AI in London employer: Valence Labs
Valence Labs is an exceptional employer that fosters a dynamic and inclusive work culture, where innovative research meets the stability of industry. As a Senior Research Scientist, you will enjoy unparalleled opportunities for professional growth while collaborating with a diverse team of experts in a supportive environment that values intellectual freedom. Located at the forefront of machine learning and drug discovery, Valence Labs empowers its employees to make meaningful contributions that can radically improve lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist - Large Language Models & Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant conferences, and engage with researchers on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your expertise! Prepare a portfolio of your research projects, publications, and any innovative ML solutions you've developed. When you get the chance to chat with potential employers, let your work speak for itself and demonstrate how you can contribute to their mission.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your research agenda and findings. Whether it's through mock interviews or casual chats with friends, being able to clearly communicate your ideas will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to push the boundaries of ML research. By applying directly, you’ll ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Research Scientist - Large Language Models & Generative AI in London
Some tips for your application 🫡
Show Off Your Research Agenda:When you write your application, make sure to clearly outline your research agenda. We want to see how you can own and pursue bold ideas, so don’t hold back on sharing your vision and past projects!
Highlight Your Technical Skills:Make sure to emphasise your technical and engineering skills in machine learning. We’re looking for someone who can rapidly prototype solutions, so give us examples of your past work that showcase these abilities.
Collaborative Spirit is Key:Since this role involves working with interdisciplinary teams, let us know about your experience collaborating with others. Share specific instances where you’ve worked cross-functionally and how it led to successful outcomes.
Communicate Clearly:Your ability to present and communicate research findings is crucial. Whether it’s through talks, publications, or blog posts, show us how you’ve effectively shared your work in the past. And remember, apply through our website for a smoother process!
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 LLMs. Be prepared to discuss the methodologies you used, the challenges you faced, and how your work has contributed to the field. This will show your depth of knowledge and passion for the subject.
✨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 in the past. Highlight any experiences where you led a project or worked alongside scientists from different backgrounds, as this will demonstrate your ability to thrive in a supportive environment.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of machine learning algorithms and their applications in drug discovery. Brush up on key concepts and be ready to discuss how you've applied them in your previous work. Practising problem-solving scenarios can also help you think on your feet during the interview.
✨Communicate Your Vision
Articulate your research agenda and future goals clearly. Valence Labs is looking for someone who can own and pursue ambitious projects, so be prepared to discuss your vision for advancing ML in drug discovery. Sharing your ideas on potential challenges and opportunities will show that you're forward-thinking and aligned with their mission.
