AI Research Engineer; Drug Discovery

Job Title:

AI Research Engineer (Drug Discovery)

Annual Base Salary: DOE, $110,000-$130,000 along with bonus eligibility and a comprehensive benefits package

Location:

Los Angeles, CA

Formerly known as the Ellison Institute of Technology Los Angeles, the Ellison Medical Institute strives to spark innovation, leverage technology, and drive interdisciplinary, patient-centered research to continually enhance health, reimagine and redefine cancer care, and transform lives.

Established in 2016 as a medical research and development center, the Institute features innovation labs for artificial intelligence and molecular analytics and was among the first organizations to vertically integrate the interdisciplinary study and treatment of disease. We offer multifaceted programs, including a preventative medicine and cancer clinic, cross-disciplinary research laboratories, a health policy think-tank, and community outreach and educational programs.

Please visit emila.org for more details.

The Ellison Medical Institute is seeking an 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.

• 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.

• 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.

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