At a Glance
- Tasks: Lead groundbreaking research in ML for drug discovery and innovate with Generative AI.
- Company: Valence Labs, a pioneer in industrialising scientific discovery.
- Benefits: Collaborative environment, intellectual freedom, and resources of industry.
- Other info: Join a diverse team passionate about pushing the boundaries of research.
- Why this job: Make a real impact on lives through cutting-edge research in AI and life sciences.
- Qualifications: PhD in a related field with strong ML and engineering skills.
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 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. Employees benefit from intellectual freedom, collaborative interdisciplinary projects, and ample opportunities for professional growth in the cutting-edge field of machine learning for drug discovery. Located in a vibrant environment, Valence Labs prioritises diversity and personal well-being, making it an ideal place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Scientist: GenAI & Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and drug discovery fields on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your research projects, publications, and any innovative ML solutions you've developed. This will help us see your impact and potential in the field.
✨Tip Number 3
Practice your pitch! Be ready to discuss your research agenda and how it aligns with our mission. We want to hear how you can contribute to our ambitious projects in generative AI and drug discovery.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior AI Research Scientist: GenAI & Drug Discovery
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and drug discovery shine through. We want to see how your experiences align with our mission of improving lives through scientific discovery.
Tailor Your CV:Make sure your CV highlights relevant experience in generative AI and machine learning. We love seeing specific projects you've led or contributed to, especially those that showcase your problem-solving skills in the life sciences.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your research agenda and how it aligns with our goals at Valence Labs. Be clear and concise, but don’t be afraid to show your personality!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
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 you overcame them. This will show your depth of knowledge and passion for 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 in the past. Highlight any experiences where you led a project or contributed significantly to a team effort, especially in a scientific context.
✨Prepare for Technical Questions
Brush up on your machine learning algorithms and be ready to discuss their applications in drug discovery. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and logically. This will demonstrate your technical prowess and problem-solving abilities.
✨Communicate Your Vision
Articulate your research agenda and how it aligns with the company's mission. Be prepared to discuss your long-term goals and how you see your work contributing to the advancement of ML in drug discovery. This shows that you're not just looking for a job, but are genuinely invested in the company's vision.
