At Bayer Crop Science, we're seeking a Senior Trait Definition Scientist to drive an impactful gene editing program through the identification, documentation, and prioritization of key plant phenotypes.
\nAs a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.
\nYour primary responsibilities will include:
\nTo be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.
\nYou will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.
\nAdditional compensation may include a bonus or incentive compensation (if relevant).
\nThis posting will be available for application until at least April 20, 2026.
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\nYour primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.
\nIn addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.
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\nFinally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.
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\nIn 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.
\nAs 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.
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\nIn this role, you will lead cross-functional projects with IT, Data Engineering, Genome Editing, and other partner teams to automate decision making and connect data to accelerate development of gene-edited products. You will translate complex biological processes into scalable digital workflows that support decision making, advancement, and prioritization within the gene editing program. Your strong ability to collaborate and lead in cross-functional, multi-disciplinary teams will be crucial in influencing without authority and aligning diverse stakeholders around shared digital solutions.
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\nWe seek an incumbent who possesses a PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or another relevant scientific field with a minimum of 6 years of relevant experience, or an MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genetic and computational biology datasets.
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\nAs an Inside Sales Representative, you will operate at the front end of the commercial organization,focused on generating, qualifying, and advancing early-stage opportunities while supporting consumables growth across the installed base and our Certified Service Provider (CSP) network.
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\nAt Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $70,000 and $82,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.
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\nWe are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.
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