Monsanto is a sustainable agriculture company focused on helping farmers around the world to produce more from their farms, both large and small. As the world's population is expected to exceed 9 billion by mid-century, we seek to help feed that growing population sustainably, affordably, and with minimal environmental impact. We are looking for a creative Data Science Team Lead to help us transform unprecedented genomics data into higher yielding crops and pest control solutions. In this role, you will lead a team to multiply the output of hundreds of scientists by developing data visualization and predictive analytics infrastructure and practices, including laboratory process dashboards and prediction systems, web service frameworks, and bioinformatics packages. Wherever possible, you will be encouraged to publish results and contribute code to open source projects.
Role and Responsibilities:
- Lead a team of 5 computational biologists to develop analysis, data analysis web applications and web services
- Pair with biologists and computational biologists to create novel algorithms and visualizations to solve Monsanto’s data analysis challenges
- Drive the development of reusable libraries for genomics and other data analyses for use by your peers on the genomics team and our internal customers
- Promote the use of R and/or Python at Monsanto and best coding practices, including version control, documentation, and tests
- Connect with the external R and/or Python communities, and foster greater engagement and support by Monsanto of those communities
- Promote the practices and value proposition of open sourcing software by Monsanto