Syngenta · 8 hours ago
Computational Biologist – Deep Learning
Durham, NC
Full-time
Onsite
Mid, Senior LevelSyngenta is one of the world’s largest developers and producers of seed for farmers, aiming to improve crop quality and yields. They are seeking a Computational Biologist to design, build, and deploy AI models for analyzing genomics data to enhance crop improvement.
AgricultureFarming
No H1B
U.S. Citizen Only
Responsibilities
Work in a team of computational biologists to train, modify and apply deep learning models, and to create or enhance workflows that leverage these models in our seeds pipeline
Join cross-functional diverse research teams to deliver the next generation of predictive and generative technologies to support Syngenta Seed’s product pipeline
Become an active member of the Bioinformatics group and drive innovation in a rapidly evolving scientific discipline
Synthesize results and clearly communicate progress and challenges to project team members
Assist in the design, building, and implementation of advanced predictive AI models using genomics data (gene expression, proteomics, epigenetics)
Data preparation for internal machine learning and deep learning (ML/DL) projects, including data QC, basic statistical analysis, preprocessing, etc
Identification and organization of public and internal data sources for DL, based on specified use cases
Exploration and implementation of cutting-edge 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
Collaborate with cross-functional stakeholders to accelerate AI adoption in product pipelines by explaining model predictions, validating biological relevance, and demonstrating measurable improvements in trait prediction and candidate selection
Prepare thorough documentation of model architectures, experimental findings, and validation metrics and deliver presentations to diverse stakeholders, including data scientists and biologists
Qualification
Required
PhD or MS with experience in Deep Learning, Bioinformatics, Genomics, Computational Biology, or closely related area
Strong understanding of plant or plant-pest/pathogen biology, gene regulation, and genomics
Applicants must be familiar with LLM concepts and popular LLM architectures
Excellent communication skills and the ability to work in a highly dynamic and collaborative environment
Experience working with biological and multi-omics data
Proficiency in the use of UNIX/Linux and its command-line environment
Proficiency 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
Preferred
Experience with MLOps tools (e.g. MLflow)
Experience with cloud computing with AWS 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
Benefits
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.
Company
Syngenta
Syngenta is an agriculture company provides products and solutions to help farmers achieve global food security for a growing population. It is a sub-organization of Syngenta Group.
Founded in 2000
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.97MKey Investors
Scottish Enterprise
2025-05-29Grant· $2.97M
2016-02-04Acquired
2000-11-13IPO
Leadership Team
Fabio Neufeld
Head of Financial Solutions
Jean Albert
Global Head Crop Protection R&D Technology Acquisition & Collaboration Management
Recent News
Mexico Business
2026-02-03
2026-01-21
2026-01-20
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