In This Role, You Will

• Support Valence Labs’ primary research programs in ML for drug discovery.
• Create and improve novel ML methods that will accelerate drug discovery.
• Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems.
• Present and communicate research findings through talks, blog posts, publications, and conferences.

A Successful Candidate Will Have Most Of The Following

• Currently enrolled in a post-doctoral fellowship, PhD, or Master's degree program.
• Strong programming skills and understanding of modern software development practices, especially in Python.
• Experience in building and deploying high-performance implementations of deep learning algorithms.
• Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment.
• Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications.
• Strong knowledge of linear algebra, calculus, and statistics.
• Passion for applying ML research to real-world problems.

Nice To Have

• Authorship of a publication in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar).
• Contribution to high-visibility ML codebases.
• 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.