In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry's most extensive and global agriculture and genetic datasets.

As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.

Responsibilities

• Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies
• Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets
• Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction
• Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines
• Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams
• Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs
• Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems

Requirements

• PhD in Biological Sciences, Computational Biology, or a related field
• At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields
• Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses
• Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry
• Distinct communication skills with fluency in English, both written and verbal

Preferred Qualifications

• Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals
• Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges
• Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level

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