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Sanford Laboratories for Innovative Medicines · 1 day ago

AI Machine Learning Scientist

San Diego County, CA

Full-time

Onsite

Senior Level

$116K/yr - $201K/yr

Sanford Laboratories for Innovative Medicines is an independent, not-for-profit biomedical research organization focused on discovering and delivering next-generation molecular medicines. They are seeking a highly qualified AI Machine Learning Scientist to develop and implement AI/ML models for RNA therapeutics, collaborating with interdisciplinary teams to enhance RNA sequence design.

AnalyticsBiotechnologyNon ProfitProduct Research

No H1B

Hiring Manager

Connie M.

Responsibilities

Develop innovative machine learning-based drug discovery algorithms and technologies to be applied across Sanford Labs’ AI Platform

Implement AI/ML methodologies, including large language models and generative AI/ML, to address complex challenges in drug discovery

Monitor and evaluate the performance of AI/ML models and drug discovery solutions

Utilize software engineering best practices to develop complex AI applications at scale

Research and stay abreast of emerging technologies relevant to drug discovery and AI/ML

Proactively scope and deploy novel computational methods and digital technologies

Qualification

Machine LearningDeep LearningPythonAI ArchitecturesStatistical ModelingRNA BiologyCloud ComputingC++JavaInnovative ThinkingTeam Collaboration

Required

Ph.D. preferred in computer science, mathematics, or computational biology

May consider a Master's degree rather than a Ph.D., depending on experience

Expertise in deep learning and machine learning

Strong experience with Python libraries for data science analysis (e.g., NumPy, Pandas, and Matplotlib) and deep learning (PyTorch or TensorFlow)

Ph.D. in computer science, mathematics, computational biology, or bioinformatics, including industry experience

Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, and other relevant quantitative methods

Familiarity with the latest AI architectures and frameworks, such as Transformer-based models, Graph Neural Networks (GNN), and other generative models, including diffusion models, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs)

Knowledge of RNA biology, particularly RNA structure, function, and RNA-binding proteins

Fluency in scientific programming and tool development with Python, R, or equivalents

Proficiency in C++ or Java is a plus

Proven record of innovative thinking to propose and champion the development of novel algorithms and AI/ML models that generated interpretable and actionable results for practical applications

Experience with software development good practices, including code versioning, documentation, and testing

Experience with cloud computing

Creative, open-minded, and passionate about scientific research

Demonstrated ability to thrive in a team environment

Strong interpersonal, collaborative, organizational, and presentation skills

Understanding of RNA therapeutic modality discovery and development