At a Glance
- Tasks: Lead groundbreaking research in ML for drug discovery and generative AI.
- Company: Valence Labs, a pioneer in scientific discovery and machine learning.
- Benefits: Intellectual freedom, industry resources, and a supportive interdisciplinary environment.
- Other info: Join a diverse team passionate about pushing the boundaries of science.
- Why this job: Make a real impact on lives through innovative ML solutions in healthcare.
- Qualifications: PhD in a related field with strong machine learning and research experience.
The predicted salary is between 70000 - 90000 £ 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 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 fields of machine learning and drug discovery. Located in a vibrant area, Valence Labs not only supports ambitious research but also prioritises the well-being and development of its team members, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist - Large Language Models & Generative AI
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and join relevant online communities. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research projects, publications, and any innovative solutions you've developed. This will help you stand out and demonstrate your skills to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role you're applying for. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission at Valence Labs.
We think you need these skills to ace Senior Research Scientist - Large Language Models & Generative AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Senior Research Scientist. Highlight your expertise in generative AI and machine learning, and don’t forget to mention any relevant projects or publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for ML in drug discovery and how your background makes you a perfect fit for our team. Be sure to communicate your research agenda clearly.
Showcase Your Research Impact:When detailing your past work, focus on the impact of your research. Mention any innovative solutions you've developed and how they contributed to advancements in the field. We love to see 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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Valence Labs
✨Know Your Research Inside Out
Make sure you’re well-versed in your past research and how it relates to the role. Be ready to discuss your PhD work and any impactful projects you've led, especially those involving generative AI and LLMs. This will show that you can clearly communicate your research agenda.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about specific challenges you faced in ML or drug discovery and how you approached them. This will demonstrate your exceptional problem-solving abilities and engineering skills.
✨Highlight Collaboration Experience
Since this role involves working with interdisciplinary teams, be ready to share experiences where you collaborated with both dry and wet scientists. Discuss how you’ve successfully navigated different perspectives and contributed to a team environment.
✨Communicate Like a Pro
Practice presenting your research findings as if you were at a conference. Whether it’s through talks, blog posts, or publications, being able to convey complex ideas simply and effectively is key. This will show that you can engage with both technical and non-technical audiences.
