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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_445f055d-c72"},"title":"Senior Genome Editing Target Design Scientist","description":"<p>At Bayer, we&#39;re driven to solve the world&#39;s toughest challenges and strive for a world where &#39;Health for all Hunger for none&#39; is no longer a dream, but a real possibility. Our mission is to sustainably enhance agricultural productivity by seamlessly integrating gene editing and digital technologies, empowering farmers to meet the world&#39;s growing food demands while safeguarding the environment.</p>\n<p>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&#39;s most extensive and global agriculture and genetic datasets.</p>\n<p>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.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies</li>\n<li>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</li>\n<li>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</li>\n<li>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</li>\n<li>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&amp;D) teams</li>\n<li>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</li>\n<li>Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in Biological Sciences, Computational Biology, or a related field</li>\n<li>At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields</li>\n<li>Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses</li>\n<li>Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry</li>\n<li>Distinct communication skills with fluency in English, both written and verbal</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>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</li>\n<li>Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals</li>\n<li>Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges</li>\n<li>Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_445f055d-c72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976820203","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$111,520.00 - $167,280.00","x-skills-required":["genetic discovery tools","gene editing","functional genomics","phenomics","computational biology","molecular biology","genetics","biochemistry","data analysis","data visualization"],"x-skills-preferred":["plant biology","machine learning","deep learning"],"datePosted":"2026-04-18T22:11:48.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"genetic discovery tools, gene editing, functional genomics, phenomics, computational biology, molecular biology, genetics, biochemistry, data analysis, data visualization, plant biology, machine learning, deep learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":111520,"maxValue":167280,"unitText":"YEAR"}}}]}