Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Job Description

Syngenta Seeds Research is seeking an exceptional Genomics Data Scientist to drive the development and implementation of cutting-edge knowledge graphs and graph-based machine learning models focused on association analysis (e.g. GWAS/QTL). In this pivotal role, you will spearhead the creation of a sophisticated data ecosystem that seamlessly integrates plant genomics data, expression analysis, and phenotype data, propelling our breeding and trait research efforts to new heights.

You will collaborate closely with scientists, bioinformaticians, and software engineers to translate scientific needs into data-driven strategies. Your expertise in knowledge graphs and graph-based machine learning will be instrumental in developing innovative digital tools and platforms that meet the highest scientific standards and facilitate data-driven decision-making processes.

Key Responsibilities

• Lead the strategy and execution for the development of knowledge graphs and graph-based machine learning models tailored to the specific needs of both breeding and trait research, ensuring scientific accuracy, technical feasibility, and efficient data management.
• Champion the integration of advanced technologies, including knowledge graphs, graph neural networks, and graph-based machine learning techniques, to innovate and enhance the R&D pipeline.
• Design and oversee the implementation of knowledge graph databases, graph-based models, and decision-making tools that optimize research processes and data interpretation.
• Collaborate closely with research and development teams to translate scientific requirements into actionable digital strategies and advanced data-driven solutions.
• Report on the performance and impact of digital tools and models, and adapadapt development plans to ensure continuous improvement and alignment with R&D goals.

PLEASE NOTE -- Candidates must be already located in the United States and not require visa sponsorship

Qualifications

• Ph.D. (required) in Bioinformatics, Computer Science with a specialization in bioinformatics, Genomics, Data Science with a biology focus, or a related scientific field.
• Experience in custom application development within a biological research context, with a strong emphasis on knowledge graphs and graph-based machine learning techniques.
• Proven expertise in creating and managing complex digital solutions that streamline research processes and enhance decision-making, with a focus on knowledge graph databases and graph neural networks.
• Deep understanding of the latest technologies and methodologies in data science, machine learning, and graph-based techniques as applied to bioinformatics and genomics.
• Exceptional analytical skills with the ability to transform complex biological data into insightful, actionable information using knowledge graphs and graph-based machine learning models.
• Innovative problem-solving abilities, with a focus on creating solutions that address complex research challenges using cutting-edge graph-based techniques.
• Excellent communication capabilities, adept at simplifying and articulating complex bioinformatics, knowledge graph, and graph machine learning concepts to various audiences.

Additional Information

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution
• Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
• A culture that promotes work/life balance, celebrates diversity, and offers numerous family-oriented events throughout the year

Syngenta 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.

Family and Medical Leave Act (FMLA
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)

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