Data Science AI Modeler

2 weeks ago

Hayward, CA, United States Vida Group International Full time

Join our cutting-edge Biotech client at the forefront of biotechnology, where we harness advanced artificial intelligence and machine learning technologies to innovate drug discovery and development. Our commitment to advancing precision medicine is bringing new therapeutic potentials to biologics, especially antibodies. Collaborate with a team of experts in computational biology, bioinformatics, and machine learning as we push the boundaries of science.

You will report to the CDO and enjoy the flexibility of a remote working arrangement, with connections to our headquarters in CA.

Your primary responsibilities will include:

Model Development and Application

  • Leverage state-of-the-art protein language models (LLMs) and machine learning techniques to analyze and optimize antibody sequences.
  • Develop and refine computational models predicting the impact of sequence modifications on antibody affinity, stability, and manufacturability.
  • Integrate structural biology data, including protein-protein interactions and conformational changes, into AI models to enhance prediction accuracy.

Data Analysis and Interpretation

  • Examine large datasets of protein sequences and experimental results to discover patterns and insights to guide optimization.
  • Collaborate with experimental scientists to validate model predictions and refine AI models based on experimental feedback.

Cross-Functional Collaboration

  • Work closely with bioinformaticians, structural biologists, and immunologists to align computational strategies with biological goals.
  • Partner with the production team to ensure optimized sequences meet manufacturability standards, including expression levels and purification efficiency.

Innovation and Research

  • Stay updated on the latest advancements in protein language models, machine learning, and computational biology.
  • Explore and implement innovative AI techniques to tackle challenges in protein engineering and antibody optimization.

You will be part of a vibrant and evolving biotech startup during an exciting phase of formation. This role offers ample opportunities for significant impact, personal growth, and learning a diverse range of skills. You will work with an experienced leadership team and help cultivate our culture, strategic direction, and scientific outcomes. Join us and make a real difference in the lives of patients

About You

  • Ph.D. or equivalent experience in Computational Biology, Bioinformatics, Structural Biology, Machine Learning, or a related field.
  • Deep knowledge of protein structure, function, and engineering, particularly concerning antibodies.
  • Demonstrated experience in machine learning, including deep learning frameworks (e.g., TensorFlow, PyTorch) and protein language models.
  • Proficiency in programming languages like Python, along with experience using bioinformatics tools and databases.
  • Exceptional problem-solving abilities and a knack for working independently and collaboratively in a multidisciplinary environment.
  • Strong communication skills to convey complex scientific concepts to both technical and non-technical audiences.
  • Experience with high-throughput screening data and techniques for protein characterization.
  • Familiarity with immunology concepts and antibody therapeutics.

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