Genomic Data Analyst

Durham, North Carolina, United States

Syngenta Group

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Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries works together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. 

Job Description

Syngenta Digital is changing the agriculture industry and we want you to be part of that. Digital innovations, data and new technologies will transform the way that crops are managed in the future and enable farmers and agronomists to enhance efficiency and sustainable food production. You will help to develop solutions that turn data into meaningful information and help to grow more food with fewer resources.
Syngenta Digital is changing the agriculture industry and we want you to be part of that.
The Syngenta Analytics and Data Sciences team is seeking a Genomics Data Scientist who will play a significant role in defining, designing, experimenting, and evaluating product-focused solutions and delivering business insights utilizing data mining, machine learning methods, deep learning, computer vision and natural language processing. As a Genomics Data Scientist, you will be part of a dynamic team that supports Research and Development objectives to transform our business.  As a Data Scientist, you will:

  • Identify viable data science opportunities and test, develop, validate, and implement end-to end analytical solutions

You will help meet the world’s most pressing needs by:

  • Utilizing rigorous data science approaches to help transform our Seeds product development pipeline to deliver maximum value to our growers and sustainability to agriculture
  • Working collaboratively on complex problems using data science to provide autonomous solutions, improve decision making and simplify our processes to deliver value to our growers 
  • Modeling complex problems, discovering, and delivering insights leading to new intelligence and identifying opportunities via the use of statistical, algorithmic, and visualization techniques


  • Create prototypes to address needs and enhance fundamental decision-making
  • Learn and understand the Seeds Development pipeline and operations, associated data and key decisions to recognize opportunities for enabling and enhancing our decision making
  • Research and apply the latest machine learning and deep learning methodologies to address Seeds Development challenges
  • Evaluate algorithm performance—validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
  • Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses


  • Ph.D. or Masters’ degree with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering, or related quantitative field
  • 2+ years of experience: Deep Learning, Machine Learning, programming, data modeling and evaluation, probability and answering questions in high-dimensional datasets
  • 2+ years of practical experience applying Deep Learning and Machine Learning to solve real-world problems or relevant quantitative and qualitative research and analytics experience
  • Expertise in data wrangling, mining, and modeling
  • Experience with SQL and AWS

Preferred Requirements

  • Experience using a programming language (Python, C/C++, Matlab) for Machine Learning or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets
  • Experience in Machine Learning and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch or Scikit-Learn
  • Experience with Kubernetes and Docker and the Agile Methodology
  • Experience with visualization and rapid prototyping tools (e.g., R Shiny, Spotfire, Power BI)
  • Proven interpersonal and excellent communication skills to communicate with stakeholders and collaborate with R&D colleagues

Additional Information

  • Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution
  • Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
  • A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)


* Salary range is an estimate based on our salary survey 💰

Tags: Agile AWS C++ Computer Science Computer Vision Data Mining Deep Learning Docker Engineering Keras Kubernetes Machine Learning Mathematics Matlab MXNet NLP Power BI Prototyping Python PyTorch R R&D Research Scikit-learn Spotfire SQL Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Health care Medical leave Parental leave Team events

Region: North America
Country: United States
Job stats:  10  2  0
Category: Analyst Jobs
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