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AI Scientist

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Syngenta Group

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Location:
United States , Durham

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

This role will support senior scientists to train, modify, and apply deep learning models and will join cross-functional research teams to deliver the next generation of predictive and prescriptive technologies to support the product pipeline. The AI Scientist will become an active member of the Bioinformatics Group and drive innovation in a rapidly evolving scientific discipline.

Job Responsibility:

  • Synthesize results and clearly communicate progress and challenges to project team members
  • Data preparation for internal ML/DL projects, including data QC, basic statistical analysis, preprocessing, etc
  • Identification of public data sources for DL based on identified use cases
  • Exploration and internal implementation of new model architectures available in the public domain
  • Modification of existing DL model architectures to support new use cases
  • Development of workflows that utilize DL models to support cross-functional project teams
  • Evaluation of model performance with new data
  • Presentation of results to relevant parties

Requirements:

  • PhD or MS (4+ years) with experience in computer science, biostatistics, bioinformatics or related area
  • Proficiency in the use of UNIX/Linux and its command-line environment
  • Experience coding in Python
  • Experience with PyTorch, TensorFlow/Keras, or JAX
  • Experience with deep learning model creation, fine-tuning, hyperparameter optimization, and model deployment
  • Knowledge/experiences in using LLMs (transformers, Mamba, etc.)
  • Proficiency in grid computing (e.g. Univa, Slurm, etc.)
  • Familiarity working with version control systems (e.g. Git, CVS, SVN, etc.)
  • Experience with Jupyter notebooks and conda environments
  • Candidates must be already located in the United States and not require visa sponsorship now or in the future (Includes OPT)

Nice to have:

  • Experience with MLOps tools (e.g. MLflow)
  • Experience with cloud computing with AWS
  • Biology knowledge
  • Experience building/fine-tuning LLMs (transformers, Mamba, Hyena, etc.)
  • Experience in programming with GitHub Copilot, AWS Q, or similar AI agents to enable rapid development
What we offer:
  • A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members
  • Offers flexible work options to support your work and personal needs
  • Full Benefit Package (Medical, Dental & Vision) that starts your first day
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution
  • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits

Additional Information:

Job Posted:
December 12, 2025

Work Type:
Hybrid work
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