AI Research Engineer, Drug Discovery

Ellison Medical Institute • Los Angeles, CA

5d • $110,000 - $130,000

About The Position

The Ellison Medical Institute is seeking a AI Research Engineer, Drug Discovery to join the Applied AI program in support of the Institute’s data science and computational drug discovery initiatives. This is an exceptional opportunity to contribute to high-impact, translational research in a collaborative environment that merges artificial intelligence, molecular science, and clinical medicine. Why Join Us: Contribute to Transformative AI in Medicine: At the Ellison Medical Institute, your work will directly advance the application of artificial intelligence to therapeutic discovery, helping transform patient care and accelerate medical innovation. Collaborate Across Disciplines to Drive Innovation: You’ll work closely with scientists, clinicians, and computational experts in a dynamic, interdisciplinary setting that encourages creativity, rapid iteration, and meaningful impact from algorithm to clinic. Grow in a Supportive, Research-Driven Environment: You’ll receive mentorship from experienced AI and biomedical professionals, gaining exposure to the full lifecycle of AI model development, deployment, and validation within a real-world healthcare context. Whether your goals lie in academia, biotech, or applied AI research, your experience here will prepare you for success.

Requirements

• Proficiency in Python, R, and SQL
• Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Pandas
• Strong analytical and problem-solving skills
• Excellent teamwork, documentation, and communication abilities
• Bachelor’s degree in Computer Science, Mathematics, Computational Biology or a related field.
• At least 3 years of industry experience in dedicated AI and computational drug discovery roles or equivalent research positions.

Nice To Haves

• Experience analyzing multi-modal biomedical datasets
• Strong background in statistics and computational modeling
• Application development experience on Oracle Cloud Infrastructure or equivalent cloud platforms
• Demonstrated ability to work collaboratively in an interdisciplinary research environment

Responsibilities

• AI Pipeline Development: Design, build, and maintain production-level, cloud-based AI systems that support drug discovery and molecular property prediction.
• Machine Learning Model Development: Develop and refine ML and deep learning models for computational chemistry, biomarker identification, and multi-modal data analysis.
• Cross-Functional Collaboration: Partner with data scientists, clinicians, and biomedical researchers to translate computational findings into actionable therapeutic insights.
• Documentation & Knowledge Sharing: Maintain thorough, reproducible records of methodologies, codebases, and results; contribute to internal documentation and shared resources.
• Communication & Reporting: Present results and model performance in internal meetings, technical reports, and research presentations for diverse stakeholders.
• Continuous Learning & Innovation: Stay at the forefront of advancements in AI, data science, and biomedical computing, integrating new methods and tools into the Institute’s research workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level