Job Description

Description

Data Analyst - Computational Biology

Overview
Corteva Agriscience is a publicly traded, global pure-play agriculture company that provides farmers around the world with the most complete portfolio in the industry - including a balanced and diverse mix of seed and crop protection solutions focused on maximizing productivity to enhance yield and profitability. Our mission is to enrich the lives of those who produce and those who consume to ensure progress for generations to come. We are seeking a 'Data Analyst - Computational Biology' . We leverage data science and multi-omics data to discover, optimize and develop novel traits, chemistry products and biologicals. As a Data Analyst, you will be part of a diverse team of Data Scientists and Analysts. A critical aspect of this position involves working with global teams across multiple locations.

Position Responsibilities

• Develop computational solutions for scientific problems and write quality bioinformatics software code as required by different projects.
• Evaluate and implement algorithms and workflows for successful completion of projects and Identify areas of process improvements and develop pipelines.
• Identify and generate datasets for scientific testing and evaluation of algorithms
• Manage and complete multiple assigned computational analysis tasks of reasonable complexity.
• Generate scientific reports and communicate results.

• Master's Degree in Bioinformatics, Computational Biology, Functional Genomics, Computer Science with 1-2 years of work experience in industry.
• Scientific programming in Python is required. Experience in additional programming languages and technologies is a plus.
• Demonstrated experience in the development of bioinformatics software or large-scale computational biology pipelines and databases.
• Experience in processing NGS datasets and various areas of genome sequence analysis including genome assembly, alignment, variant calling, structural and functional gene annotation.
• Strong problem-solving skills and willingness to learn
• Excellent communication skills (oral and written) are a must.