Remote Crop Scientist - Data Analytics & Modeling

Placements24; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Health benefits

Home office stipend

Learning opportunities

Job summary

Placements24 seeks a highly analytical Remote Crop Scientist to join a global leader in agricultural innovation. You will apply data analytics, statistical modeling, and ML to crop genetics, environment, and yield data to drive improvement initiatives and sustain global food security.

This fully remote role requires a Ph.D. or Master’s in Plant Science or a related field, strong coding skills in Python or R, and experience with TensorFlow/PyTorch.

Qualifications

• PhD or Master's in Plant Science, Agronomy, Bioinformatics, Statistics, CS or related quantitative field.
• Proven experience in data analysis, statistics, and ML in agri/biological context.
• Proficient in Python or R with libraries like scikit-learn, TensorFlow or PyTorch.

Responsibilities

• Develop statistical models and ML to analyze large-scale agronomic datasets.
• Identify genetic markers and environmental interactions affecting yield and resilience.
• Collaborate with breeders, agronomists, and data engineers to translate findings into actionable insights.
• Design experiments to validate predictive models and hypotheses.
• Visualize data and communicate results to technical and non-technical audiences.

Skills

Data analysis

Statistical modeling

Machine learning

Python

R

TensorFlow

PyTorch

Communication

Remote work

Education

PhD in Plant Science / Agronomy / Bioinformatics / Statistics

Master's degree in quantitative field

Tools

Scikit-learn

Job description

About the Role

Our client, a global leader in agricultural innovation, is seeking a highly analytical and experienced Remote Crop Scientist to join their expanding research and development division. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will be instrumental in leveraging advanced data analytics, statistical modeling, and machine learning techniques to drive crop improvement initiatives. You will analyze vast datasets related to crop genetics, environmental factors, and yield performance to identify key drivers of success and inform strategic breeding programs. This role demands a strong scientific background combined with exceptional data science skills, focusing on unlocking insights from complex agricultural information to enhance productivity and sustainability on a global scale. Your work will directly impact the development of next-generation crops, contributing to food security and resilience.

Key Responsibilities

• Developing and applying statistical models and machine learning algorithms to analyze large-scale agricultural datasets (genomic, phenotypic, environmental).
• Identifying key genetic markers and environmental interactions that influence crop yield, quality, and resilience.
• Collaborating with plant breeders, agronomists, and data engineers to translate research findings into actionable insights.
• Designing and interpreting experiments to validate predictive models and hypotheses.
• Visualizing complex data and communicating findings effectively to both technical and non-technical audiences through reports and presentations.
• Staying abreast of the latest advancements in crop science, data analytics, and computational biology.
• Contributing to the development of data management strategies and best practices for agricultural research.
• Assessing the impact of climate change and other environmental factors on crop performance.
• Evaluating new data sources and technologies for potential integration into research workflows.
• Mentoring junior data scientists and researchers within the team.

Requirements

• A Ph.D. or Master's degree in Plant Science, Agronomy, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning, preferably within an agricultural or biological context.
• Proficiency in programming languages such as Python or R and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of genetics, plant physiology, and agricultural science principles.
• Experience with large-scale biological datasets and database management.
• Excellent analytical, critical thinking, and problem-solving skills.
• Outstanding written and verbal communication skills, with the ability to present complex findings clearly.
• Demonstrated ability to work independently and manage multiple projects in a remote environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A passion for using data to solve critical challenges in agriculture.

Benefits

Our client offers a highly competitive salary package, commensurate with qualifications and experience, along with significant performance bonuses and comprehensive remote-work benefits. This includes health, dental, and vision insurance, a generous retirement plan contribution, and a home office stipend. Opportunities for continuous learning, attending virtual conferences, and career advancement within a globally recognized organization are abundant. This is a fully remote role, providing unparalleled flexibility and the chance to contribute to impactful agricultural research from anywhere.