Remote Plant Disease Epidemiologist

Placements24

Vereeniging

Hybrid

ZAR 900,000 - 1,500,000

Full time

44 hours ago
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Benefits offered by this job

Competitive salary
Health benefits
Flexible remote working
Professional development
Access to research data

Job summary

Placements24, on behalf of a global agricultural science leader, seeks a Remote Plant Disease Epidemiologist. You will build predictive models for plant disease spread, analyze large datasets, and advise on risk management strategies while working fully remotely from anywhere in South Africa.

Requirements include a Ph.D. or Master’s in Plant Pathology or Epidemiology with 5+ years of experience, strong stats and data skills (R, Python, SAS), GIS proficiency, and proven remote collaboration

Qualifications

  • Ph.D. or Master’s in Plant Pathology, Epidemiology, Agricultural Science, or related field.
  • Minimum 5 years of plant disease epidemiology experience.
  • Proven expertise in statistical modeling and data analysis.
  • Proficiency in R, SAS, Python and GIS software.
  • Strong written and verbal communication; ability to work remotely.

Responsibilities

  • Develop, validate, and implement epidemiological models for plant disease spread and severity.
  • Analyze large datasets related to disease incidence, environmental factors, and agricultural practices.
  • Conduct research on pathogen biology, host-pathogen interactions, and disease dynamics.
  • Provide expert advice on disease forecasting, risk assessment, and management strategies to stakeholders.
  • Collaborate with cross-functional teams, including plant pathologists, agronomists, and data scientists, using virtual communication platforms.
  • Stay abreast of the latest research and technological advancements in plant disease epidemiology and agricultural technology.
  • Prepare scientific publications, technical reports, and presentations for internal and external audiences.
  • Contribute to the development of disease monitoring and early warning systems.
  • Advise on integrated disease management (IDM) programs tailored to different cropping systems and regions.
  • Maintain high standards of scientific rigor and data integrity in all research activities.

Skills

Statistical modeling
R
Python
GIS

Education

PhD in Plant Pathology
Master’s in Epidemiology

Tools

SAS
GIS software
Python

Job description

About the Role Our client is a global leader in agricultural innovation and biosciences, seeking a highly motivated and analytical Remote Plant Disease Epidemiologist to join their dedicated research team. This fully remote position is ideal for an expert in understanding and predicting the spread of plant diseases across diverse agricultural regions. You will leverage your deep knowledge of plant pathology, epidemiology, and statistical modeling to develop predictive models, analyze disease outbreak data, and provide strategic recommendations to mitigate risks and enhance crop resilience. Working from anywhere within South Africa, you will collaborate virtually with a world-class team of scientists, researchers, and agricultural professionals. This role offers the unique opportunity to contribute to global food security by developing cutting-edge solutions for plant disease management. Your insights will directly influence disease control strategies and crop protection efforts worldwide. If you are a proactive and data-driven expert passionate about safeguarding crops from devastating diseases, this remote opportunity is perfect for you. The role requires exceptional analytical skills, proficiency in remote collaboration tools, and a strong commitment to scientific excellence.

Key Responsibilities
  • Develop, validate, and implement epidemiological models for plant disease spread and severity.
  • Analyze large datasets related to disease incidence, environmental factors, and agricultural practices.
  • Conduct research on pathogen biology, host-pathogen interactions, and disease dynamics.
  • Provide expert advice on disease forecasting, risk assessment, and management strategies to stakeholders.
  • Collaborate with cross-functional teams, including plant pathologists, agronomists, and data scientists, using virtual communication platforms.
  • Stay abreast of the latest research and technological advancements in plant disease epidemiology and agricultural technology.
  • Prepare scientific publications, technical reports, and presentations for internal and external audiences.
  • Contribute to the development of disease monitoring and early warning systems.
  • Advise on integrated disease management (IDM) programs tailored to different cropping systems and regions.
  • Maintain high standards of scientific rigor and data integrity in all research activities.
Requirements
  • A Ph.D. or Master's degree in Plant Pathology, Epidemiology, Agricultural Science, or a related field with a strong focus on epidemiology.
  • Minimum of 5 years of experience in plant disease epidemiology research or applied practice.
  • Proven expertise in statistical modeling, data analysis, and bioinformatics.
  • Proficiency in statistical software (e.g., R, SAS, Python) and GIS software.
  • Strong understanding of plant pathology, crop physiology, and agricultural systems.
  • Excellent written and verbal communication skills, with the ability to convey complex scientific information clearly.
  • Demonstrated ability to work independently and manage projects effectively in a remote setting.
  • Experience with remote collaboration tools (e.g., Slack, Microsoft Teams, Zoom) and virtual project management.
  • Strong publication record in peer-reviewed journals is a plus.
  • Must have a reliable internet connection and a suitable home office environment.
Benefits
  • Highly competitive salary.
  • Comprehensive health and wellness benefits.
  • Flexible remote working arrangements.
  • Opportunities for continuous professional development and training.
  • Access to cutting-edge research data and resources.
  • Significant contribution to global agricultural sustainability and food security.
  • Work with a leading international agricultural science organization.
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