BioTalent

AI/ML Scientist - Drug Development

BioTalent Seattle, WA

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A clinical-stage bio-pharmaceutical company focused on cancer treatments is seeking a Senior Scientist to enhance its in-house large language model (LLM) for sequence-to-structure-to-activity relationship modeling in antibody discovery, protein engineering, and immuno-oncology applications.


In this role, you will design, develop, and implement AI models, data pipelines, and parallel computing architectures to accelerate the discovery and development of novel therapeutics using in-house LLM implementations to accelerate therapeutic discovery.


Key Responsibilities:

  • Fine-tune Llama 3.3 models for sequence-to-structure-to-activity predictions, incorporating domain-specific knowledge.
  • Design data generation pipelines and develop algorithms for data processing and augmentation.
  • Fine-tune Llama 3.3 using internal R&D data to optimize model performance.
  • Integrate language models to store data in a vector database for processing and design.
  • Implement data flow management from laboratory systems to AI databases for seamless integration.
  • Optimize parallel computing and model training using technologies like MPI, OpenMP, Dask, and Ray.
  • Develop software for model training, data processing, and workflow integration.
  • Implement data security measures and manage backup strategies for sensitive data.
  • Develop disaster recovery and incident response procedures for business continuity.


Requirements:

  • Ph.D. or Master’s in Computer Science, AI, Bioinformatics, Computational Biology, or related field.
  • 3+ years of AI/ML model development experience, especially in natural language processing and database management.
  • Proficiency in Python, C++, or Julia.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and parallel computing.
  • Strong knowledge of antibody discovery, protein engineering, and immuno-oncology.
  • Strong communication and collaboration skills.

  • Seniority level

    Associate
  • Employment type

    Full-time
  • Job function

    Science and Research
  • Industries

    Biotechnology Research and Pharmaceutical Manufacturing

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