About The Position

The Global Research Lead, Entomology and Weed Science provides scientific and people leadership for UPL's Late-Stage Discovery and Early Development Program across insecticides and herbicides, spanning conventional and biological technologies. The role sets global research strategy, builds fit-for-purpose laboratory, insectary, greenhouse, and field screening programs, and converts biological evidence into clear advancement, optimization, partnership, or stop decisions. A central responsibility within the OpenAg model is to scientifically evaluate and validate external technologies, define their technical differentiation, development potential, risks, and evidence gaps, and help the business articulate a credible agronomic and commercial value proposition. This leader manages and develops multidisciplinary teams, connects global category priorities with regional agronomic needs, and ensures high-quality, reproducible data packages that support product concepts from late-stage discovery through field proof of concept.

Requirements

  • Scientific and people leadership for UPL's Late-Stage Discovery and Early Development Program across insecticides and herbicides.
  • Setting global research strategy.
  • Building laboratory, insectary, greenhouse, and field screening programs.
  • Converting biological evidence into clear advancement, optimization, partnership, or stop decisions.
  • Scientifically evaluating and validating external technologies.
  • Defining technical differentiation, development potential, risks, and evidence gaps of external technologies.
  • Articulating a credible agronomic and commercial value proposition for external technologies.
  • Managing and developing multidisciplinary teams.
  • Connecting global category priorities with regional agronomic needs.
  • Ensuring high-quality, reproducible data packages.
  • Supporting product concepts from late-stage discovery through field proof of concept.
  • Translating business, grower, resistance-management, and portfolio needs into a balanced entomology and weed science roadmap.
  • Defining stage-appropriate evidence requirements.
  • Providing technical leadership across conventional chemistry, biologicals, combinations, formulations, seed treatments, and enabling technologies.
  • Directing development, validation, standardization, and continuous improvement of screening methods.
  • Establishing quality, stewardship, biosafety, permit, recordkeeping, and data-integrity expectations.
  • Coaching and developing scientists and technical staff.
  • Setting clear priorities and strengthening experimental judgment.
  • Building succession and cross-training across disciplines.
  • Allocating people, facilities, budget, test organisms, germplasm, and field resources.
  • Balancing speed, quality, and cost.
  • Building productive networks with regional development teams, universities, CROs, technology partners, and professional societies.
  • Leading rigorous evaluation and validation of external technologies and partnerships.
  • Synthesizing complex datasets into concise technical positions, risk assessments, and decision-ready recommendations.
  • Anticipating technical gaps, emerging pests and weeds, resistance trends, assay limitations, and field-translation risks.
  • Initiating experiments that reduce uncertainty early.

Nice To Haves

  • Experience with biologicals and traditional crop protection solutions.
  • Experience with OpenAg model.
  • Experience with conventional chemistry, biologicals, combinations, formulations, seed treatments, and enabling technologies.
  • Experience with externally sourced concepts.

Responsibilities

  • Lead global late-stage discovery, early-development, and portfolio decisions
  • Translate business, grower, resistance-management, and portfolio needs into a balanced entomology and weed science roadmap spanning late-stage discovery and early development.
  • Define stage-appropriate evidence requirements and recommend advance, refine, partner, or stop decisions based on scientific quality, technical differentiation, development feasibility, risk, and potential value.
  • Provide technical leadership across conventional chemistry, biologicals, combinations, formulations, seed treatments, and enabling technologies, including externally sourced concepts evaluated through OpenAg.
  • Build and govern screening platforms from lab to field
  • Direct development, validation, standardization, and continuous improvement of insect, mite, weed, crop-safety, dose-response, spectrum, residual, rainfastness, resistance, and environmental-condition screens.
  • Ensure laboratory, insectary, controlled-environment, greenhouse, and field methods are biologically relevant, reproducible, statistically sound, and transferable across sites and partners.
  • Establish quality, stewardship, biosafety, permit, recordkeeping, and data-integrity expectations for internal and external studies.
  • Lead people, capability, and external research networks
  • Coach and develop scientists and technical staff; set clear priorities, strengthen experimental judgment, and build succession and cross-training across both disciplines.
  • Allocate people, facilities, budget, test organisms, germplasm, and field resources against portfolio priorities while balancing speed, quality, and cost.
  • Build productive networks with regional development teams, universities, CROs, technology partners, and professional societies; lead rigorous evaluation and validation of external technologies and partnerships.
  • Integrate science, business insight, and execution
  • Synthesize complex datasets into concise technical positions, risk assessments, and decision-ready recommendations for R&D, Category, Portfolio, Regulatory, IP, Formulation, Manufacturing, and Commercial stakeholders.
  • Help the business define each technology’s agronomic value proposition, technical differentiation, development fit, evidence needs, and key uncertainties.
  • Anticipate technical gaps, emerging pests and weeds, resistance trends, assay limitations, and field-translation risks; initiate experiments that reduce uncertainty early.
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