At Syngenta we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge Syngentas Bioinformatics Team is seeking an AI Scientist located in Durham North Carolina. 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.
Accountabilities:
- 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.
Qualifications :
PLEASE NOTE -- Candidates must be already located in the United States and not require visa sponsorship now or in the future (Includes OPT).
Required:
- 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.
Desired:
- 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.
Additional Information :
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.
Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
WL: 4B
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
At Syngenta we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge Syngentas Bioinformatics Team is seeking an AI Scientist located in Durham North Carolina. This role will support senior scientists to train modify and apply ...
At Syngenta we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge Syngentas Bioinformatics Team is seeking an AI Scientist located in Durham North Carolina. 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.
Accountabilities:
- 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.
Qualifications :
PLEASE NOTE -- Candidates must be already located in the United States and not require visa sponsorship now or in the future (Includes OPT).
Required:
- 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.
Desired:
- 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.
Additional Information :
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.
Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
WL: 4B
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
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