At a Glance
- Tasks: Lead innovative research in machine learning for drug discovery and atomistic simulations.
- Company: Valence Labs, a pioneering research unit focused on scientific discovery.
- Benefits: Collaborative environment with academic freedom and industry resources.
- Other info: Join a diverse team passionate about pushing the boundaries of research.
- Why this job: Make a real impact in healthcare by advancing ML technologies.
- Qualifications: PhD in a related field with strong ML and scientific research experience.
The predicted salary is between 60000 - 80000 £ 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 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 a Valence Labs Research Unit focused on building AI models for atomistic systems, and contribute to ambitious frontier research within the domain of ML for drug discovery.
- Lead new research projects at the intersection of ML 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 (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
- Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
- A proven track record of impactful machine learning research, including designing new neural networks to model molecular systems, proposing new theories, improving upon existing ideas, and applying novel ML techniques to real-world problems.
- Advance practical and theoretical knowledge of Quantum Mechanics (QM), molecular mechanics (MM), and Neural Network Potentials (NNP) methods.
- Knowledge of various sampling methods associated with molecular dynamics and quantum mechanical calculations.
- Strong technical and engineering skills, including ability to rapidly prototype ML models.
- 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, or ICLR) and/or journals (e.g. Nature, Science, JACS, or ACS).
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 - Machine Learning for Atomistic Simulations in London employer: Valence Labs
Valence Labs offers an exceptional work environment for Senior Research Scientists, combining the intellectual freedom of academia with the resources and stability of industry. Located in vibrant Montreal, Québec, employees benefit from a supportive, interdisciplinary culture that fosters collaboration and innovation in machine learning for drug discovery. With a strong commitment to diversity and inclusion, Valence Labs provides ample opportunities for professional growth and impactful research, making it an ideal employer for those looking to make a meaningful difference in scientific discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist - Machine Learning for Atomistic Simulations in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and drug discovery. Attend conferences, webinars, or local meetups to connect with potential colleagues and mentors who can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any innovative ML solutions you've developed. This will give hiring managers a clear view of what you bring to the table.
✨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. We want to see your passion for ML and drug discovery shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Valence Labs and contributing to groundbreaking research.
We think you need these skills to ace Senior Research Scientist - Machine Learning for Atomistic Simulations in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the Senior Research Scientist role. Highlight your machine learning expertise and any relevant projects you've led, as this will show us you’re a great fit for our ambitious research agenda.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about ML in drug discovery. Share your vision for how you can contribute to our mission at Valence Labs and don’t forget to mention any unique challenges you've tackled in your previous roles!
Showcase Your Research Impact:When detailing your past research, focus on the impact of your work. We want to see how your contributions have advanced the field, so include metrics or outcomes where possible. This will help us understand the value you can bring to our team.
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 gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Valence Labs
✨Know Your Stuff
Make sure you have a solid grasp of the latest machine learning algorithms and their applications in drug discovery. Brush up on your knowledge of Quantum Mechanics, molecular mechanics, and Neural Network Potentials. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Projects
Prepare to talk about your previous research projects, especially those where you've designed neural networks or applied ML techniques to real-world problems. Highlight your role in these projects, any challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to lead research initiatives.
✨Collaboration is Key
Since this role involves working with interdisciplinary teams, be ready to discuss your experience collaborating with both dry and wet scientists. Share examples of how you’ve successfully worked in teams, communicated complex ideas, and contributed to collective goals. This will show that you can thrive in a supportive, collaborative environment.
✨Communicate Effectively
Practice explaining your research findings in a clear and engaging way. Whether it's through talks, blog posts, or publications, being able to communicate complex concepts simply is crucial. Consider preparing a brief presentation of your work to showcase your communication skills during the interview.
