Chesterfield, MO30+ days ago
Bayer seeks an incumbent who possesses the following: Experience building and deploying data pipelines, predictive models, and AI/ML solutions in a scientific, R&D, or operations environment; Strong skills in data modeling, analytics, and visualization, with the ability to translate complex workflows into scalable, AI/ML-ready data structures and decision tools; Proficiency with modern data and analytics technologies (for example, Python or R, SQL, workflow orchestration, dashboards/BI tools, and cloud-based data platforms); Demonstrated ability to collaborate effectively with cross-functional partners (scientists, engineers, IT, data science) and to influence without direct authority in a multidisciplinary setting; Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders and to drive change management and user adoption of digital tools; Proven capability to manage multiple initiatives in parallel, set priorities based on impact, and define and track clear success metrics; Commitment to responsible and ethical use of data and AI, including attention to privacy, IP protection, bias/robustness, and human-in-the-loop decision making; Willingness to work in a regional role with stakeholders across lab, greenhouse, and field environments, and to engage regularly with diverse, empowered teams. You will build connected data systems and decision models that improve the efficiency, predictability, and transparency of the Crop Genome Editing pipeline; you will connect currently disconnected Research Operations initiatives (data, workflow, automation, sample tracking, and analytics) to establish an end-to-end (E2E) modeling capability from design ? execution ? outcomes, leveraging advanced analytics, AI/ML, and responsible GenAI where appropriate; you will enable data-driven decisions and operational modeling across lab/greenhouse/field activities, translate workflows into implementable plans for data science and engineering partners, and accelerate learning cycles for genome editing; you will work within diverse, empowered teams to advance our mission of Health for All and Hunger for None.