Senior Computational Scientist (AI/ML)

Title: Senior Computational Scientist (AI/ML)

Salary: $150,000-$345,000

Location: San Jose, CA

Company Overview:
EPM Scientific is currently partnered with an innovative biotech company that has developed a state-of-the-art AI/ML-driven drug discovery platform and continues to attract top talent from across the globe. With two late-stage clinical assets and strong financial backing, this company is well-positioned to advance R&D and cutting-edge technology development.

Role Overview:
We are seeking a highly motivated AI/ML Scientist to join our world-class research team and contribute to the next generation of computational drug discovery and protein engineering. In this role, you will apply advanced AI/ML techniques, including large language models, diffusion models, geometric deep learning, and computational protein design, to accelerate drug development and unlock new therapeutic possibilities.

Key Responsibilities:

• Develop and apply machine learning models to solve complex challenges in computational biology, protein structure prediction, and drug discovery.
• Design, train, and optimize deep learning algorithms using PyTorch and other modern frameworks.
• Collaborate with interdisciplinary teams across AI, computational chemistry, and structural biology to integrate ML into drug discovery pipelines.
• Publish high-impact research in leading ML and computational biology conferences/journals (ICML, NeurIPS, ICLR, etc.).
• Stay ahead of cutting-edge advancements in AI/ML for biotech and contribute to the company's AI-first research strategy.

Minimum Qualifications:

• PhD in Computer Science, Physics, Electrical/Computer Engineering, Bioinformatics, Computational Biology, or related fields.
• Strong research background with publications in top AI/ML conferences (ICML, NeurIPS, ICLR) or computational biology journals.
• Expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and programming in Python.
• Experience in one or more relevant areas:
  • Large language models (LLMs) for molecular design.
  • Diffusion models for molecular generation.
  • Geometric deep learning for protein structure and conformation prediction.
  • Natural language processing (NLP) for bioinformatics applications.
  • Computational protein design and structure prediction.
• Ability to work collaboratively in a fast-paced, interdisciplinary research environment.

Preferred Qualifications:

• Experience in drug discovery, molecular docking, or cheminformatics.
• Familiarity with biophysics, structural biology, or computational chemistry.
• Strong track record of contributions to open-source AI/ML research or applied biotech projects