Proxima · 4 hours ago
AI Scientist
Proxima is building a computational pipeline combining state-of-the-art physics-based modeling and machine learning to revolutionize drug discovery and development. They are seeking an experienced AI Scientist to join their machine learning team to help develop advanced pipelines for the design of proximity-inducing molecules.
Alternative MedicineArtificial Intelligence (AI)BiotechnologyClinical TrialsLife ScienceMachine Learning
Responsibilities
Scientifically direct the design and training of large-scale, state-of-the art Deep Learning systems
Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems
Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches
Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends
Qualification
Required
MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience)
Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications)
2+ years of experience on machine learning teams, ideally at a start-up
4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch
Experience with Python is required
Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities
Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly
Clearly communicate modeling setup and results at various levels of abstraction
Preferred
Domain knowledge and experience in Cheminformatics, Bioinformatics, Genomics, Computational Biology, Biophysics or Computational Chemistry
Competitive programming or scientific experience, including Kaggle, PUTNAM, CTFs, iGEM, Biology/Chemistry Olympiad
Strong working knowledge of containerized production (Docker, Kubernetes), DevOps, MLOps and CI/CD principles
Programming skills in Rust, C, C++ is a plus
Experience with other state-of-the-art frameworks such as Jax, TensorFlow, MXNet or Sklearn
Experience working with large datasets in cloud environment with distributed computing tools (e.g., Spark, Airflow, Dask)
Machine learning or software engineering project management experience
Company
Proxima
Proxima Bio develops programmable medicines that modulate protein interactions to address disease processes.
H1B Sponsorship
Proxima has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$86.26MKey Investors
DCVC
2026-01-13Seed· $86.26M
Recent News
2025-10-30
Company data provided by crunchbase