Traits Pipeline Decision Science Lead

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

In our quest to harness the potential of plants to feed the world, we are actively seeking a visionary Trait Research Decision Science Lead. Your primary mission is to guide the creation and management of advanced machine learning models, serving as a cornerstone for our internal Seeds Research Traits pipeline. This role involves crafting a seamless data ecosystem that integrates plant and microbial genomics data, expression analysis, and plant phenotype data, significantly enhancing our trait research efforts. As a thought leader, you will collaborate closely with scientists and developers, transforming scientific needs into data-driven strategies. Your role is crucial in the development and maintenance of innovative digital tools and platforms, ensuring they meet the highest scientific standards. Your strategic oversight is vital in making sure that our data-driven decision-making processes are not only scientifically rigorous but also intuitively designed for our internal stakeholders. This approach is essential in fostering collaboration and driving innovation within our research teams, with the ultimate goal of efficiently transitioning superior seeds from the laboratory to the field. This role will work closely with a team of internal experts and engineers, augmented with necessary external developers to build a cutting-edge data-driven decision pipeline.

Accountabilities

• Lead the strategy and execution for the development of machine learning models and custom applications, ensuring they effectively meet the needs of trait research in terms of scientific accuracy, technical feasibility, and data management.
• Champion the integration of advanced technologies, including AI, machine learning, data analytics, and digital twin technologies, to innovate and enhance the trait research pipeline.
• Design and oversee the implementation of pipeline models, sequence databases, and decision-making tools that are tailored to 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.
• Manage the entire lifecycle of digital projects, from roadmap development to model performance monitoring, including budgeting, timeline, resource allocation, and strategy adjustments to align with research objectives.
• Report on the performance and impact of digital tools and models, and adapt development plans to ensure continuous improvement and alignment with trait research goals.
• Provide strategic leadership to development teams, connecting the long-term vision to day-to-day execution, and fostering innovation within the trait research domain.

Qualifications

Education:

• PhD in Bioinformatics, Computer Science with a specialization in bioinformatics, Genomics, Data Science with a biology focus, or a related scientific field.

Professional Experience and Technical Proficiency:

• Extensive experience in custom application development and novel decision-making tools within a biological research context.
• Expertise in advanced machine learning techniques for modeling R&D pipeline decisions is required. Experience in working with sequence databases and the application of digital twins in biological research is preferred.
• Demonstrated ability in creating and managing complex digital solutions that streamline research processes and enhance decision-making.
• Deep understanding of the latest technologies and methodologies in data science and machine learning as applied to bioinformatics.
• Proven track record of managing large-scale IT projects in a biotech or life sciences research setting.
• Strong familiarity with agile development methodologies and project management tools.

Analytical and Problem-Solving Skills:

• Exceptional analytical skills with the ability to transform complex biological data into insightful, actionable information.
• Innovative problem-solving abilities, with a focus on creating solutions that address complex research challenges.

Leadership and Communication:

• Demonstrated ability to lead, motivate, and drive innovative teams.
• Strategic thinker with data-driven decision-making skills.
• Excellent communication capabilities, adept at simplifying and articulating complex bioinformatics and IT topics 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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