At a Glance
- Tasks: Lead innovative research in machine learning for drug discovery and atomistic simulations.
- Company: Join Valence Labs, a pioneering research unit focused on AI and scientific discovery.
- Benefits: Enjoy a supportive environment with academic freedom and industry resources.
- Other info: Be part of a diverse team pushing the boundaries of science and technology.
- Why this job: Make a real impact in healthcare by advancing ML solutions for drug discovery.
- Qualifications: PhD in a related field with strong machine learning and interdisciplinary collaboration skills.
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 employer: Valence Labs
Valence Labs is an exceptional employer that fosters a dynamic and inclusive work culture, where researchers are empowered to pursue innovative projects at the forefront of machine learning and drug discovery. Located in the vibrant city of Montreal, Québec, employees benefit from a supportive interdisciplinary environment that combines the intellectual freedom of academia with the resources of industry, offering ample opportunities for professional growth and collaboration. Join us to be part of a passionate team dedicated to making a meaningful impact on scientific discovery and improving lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist - Machine Learning for Atomistic Simulations
✨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
Some tips for your application 🫡
Show Off Your Research Agenda:When you write your application, make sure to highlight your research agenda. We want to see how you’ve owned and pursued your projects, so don’t hold back on sharing your bold ideas and past successes!
Tailor Your Experience:Make your application stand out by tailoring it to the role. We’re looking for specific experiences in machine learning and drug discovery, so be sure to showcase your relevant skills and projects that align with our mission.
Communicate Clearly:Your ability to communicate complex ideas is key! Use clear and concise language in your application to demonstrate how you can present research findings effectively, just like you would in talks or publications.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Valence Labs Research Unit!
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 across disciplines and how you’ve contributed to team dynamics. This will show that you can thrive in a supportive environment like Valence Labs.
✨Communicate Effectively
Practice presenting your research findings clearly and engagingly. Whether it's through talks, blog posts, or publications, being able to communicate complex ideas simply is crucial. Consider preparing a brief presentation or summary of your work to showcase your communication skills during the interview.
