Computational Biologist – Deep Learning
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Job Location:
Durham, NC - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 the Bioinformatics group is seeking a Computational Biologist to help design build and deploy Artificial Intelligence models (e.g. deep learning) to analyze genomics data for crop improvement. The position is in Durham North Carolina.
Role Purpose:
- 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 Seeds 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
Accountabilities:
- 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
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 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
Technical skills:
- 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/Kerasor 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 SVNetc)
- 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
Key Skills
- Laboratory Experience
- Transfection
- Bioinformatics
- DNA Isolation
- Genetics
- PCR
- R
- Biochemistry
- Next Generation Sequencing
- Cell Culture
- Molecular Biology
- Research Laboratory Experience
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
