Research & Impact Acceleration Lead

Overseas

Santa Fe Capital

On-site

ARS 212,038,000 - 333,202,000

Full time

3 days ago
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Job summary

Bayer seeks an experienced leader to define and drive the vision, strategy, and multi-year plan for accelerating research and impact in the early breeding pipeline. You will coordinate across genomics, phenotyping, data science, and digital workflows to deliver faster, higher-quality product delivery for growers and customers worldwide.

As part of the Capability Center, you will establish standards for hypothesis-driven design and decision-ready evidence, and guide adoption of innovative

Qualifications

  • PhD in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or related field.
  • Strong knowledge of advanced breeding technologies, analytics, genomics, or quantitative genetics.
  • Ability to collaborate across regions and functions to solve complex problems.

Responsibilities

  • Define the vision and multi-year strategy for research acceleration across the early breeding pipeline.
  • Set standards for hypothesis-driven design and decision-ready evidence.
  • Shape technology agenda across accelerated breeding, genomics, phenotyping, and digital workflows.
  • Lead adoption strategy and embed new practices across crops and regions at scale.
  • Define metrics for acceleration value and report on cycle time and genetic gain.

Skills

PhD in Plant/Animal Breeding
Quantitative genetics
Cross-functional collaboration
Leadership attributes (VACC)

Education

PhD or MS in a related field

Tools

Genomics
Data science

Job description

Bayer seeks an experienced leader to define and drive the vision, strategy, and multi-year plan for accelerating research and impact in the early breeding pipeline. You will coordinate across genomics, phenotyping, data science, and digital workflows to deliver faster, higher-quality product delivery for growers and customers worldwide.

As part of the Capability Center, you will establish standards for hypothesis-driven design and decision-ready evidence, and guide adoption of innovative

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