ROLE AND RESPONSIBILITIES
- Building of machine learning models for agri-genomic trait predictions and development of a digital Agri-Tech platform
- Development of digital and analytical models on agri data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable, while delivering business objectives
- Data analytics and data driven modelling for chemical and biological systems for R&D objectives across various areas such as material sciences, nutritional sciences
- Creating a visualizer and dash boards to summarize data analytics outcomes for stakeholders
- Supporting the in-house projects with data analytics
QUALIFICATIONS AND EDUCATION REQUIREMENTS :
Qualifications
BE/BTECH/M.Sc. in Computational Applications (MCA), Statistics, Bioinformatics or any relevant field with 2+yrs of relevant experience.
Experience
- Advanced data modelling/machine learning, analytics and statistical assessment for complex data such as genomics, chemical reaction systems
- Exposure to biological systems (eg. microbiome/agri-genomics) and working on cloud systems (Azure, AWS or Google-Cloud etc.) is an added advantage
Skills Required
- A successful candidate should be well versed with statistical tools relevant for biological system (eg bio-conductor)
- Must have a strong background in data analytics and machine learning
- Knowledge of Python is required
- Should have good command in R
About Us
To apply for this job please visit fa-eskj-saasfaprod1.fa.ocs.oraclecloud.com.