Job Description:
We are looking for a creative and insightful Trait Biology Analytics Team Lead to help us transform unprecedented genomics data into higher yielding crops and pest control solutions. You will lead a team that is using genomics data and bioinformatics tools to identify promising transgenes for future biotech crops. Your team will mine bacterial genomes for traits including insect control, herbicide tolerance, and disease resistance; identify targets for gene editing in plant genomes; and apply modern computational biology and machine learning approaches to drive Monsanto’s early discovery pipeline. Role and responsibilities: -Lead a team of ~5 Ph.D. computational biologists working on diverse discovery projects. -Recruit, hire, and develop computational biology and data science talent. -Develop and apply novel algorithms and analytical approaches. -Collaborate with laboratory scientists and business teams to identify challenges, design experiments, and analyze data. -Balance work across a complex and wide-ranging portfolio of biotech discovery projects spanning internal and external research teams. -Partner with IT and other computational teams to turn your team’s cutting-edge science into robust and reproducible analysis pipelines. -Drive computational biology best practices, including adoption of cloud computing, development of reusable libraries, version control, automated testing, thorough documentation, and reproducible research. Required Skills: -Ph.D. in a biological or bioinformatics discipline with 2+ years of work experience -Proven skills and experience in definition and implementation of computational solutions, including facility with a programming language suitable for scientific work or data science, such as R or Python. -Successful leadership of projects that span multiple disciplines, either directly or in a matrix/collaborative environment. -Excellent verbal and written communication skills, especially in communicating computational solutions to scientific problems and conclusions from analysis of complex data. -A highly collaborative approach, with the drive and ability to actively create new connections across the Monsanto Technology organization and outside the company. Desired Skills/Experience: -Genomics domain expertise. -Experience leading data / computational scientists in both technical and career development. -Demonstrated experience driving computational best practices and aligning talent with strategic objectives. -Strong statistics and/or machine learning skills. -Experience with scientific data visualization. -Scientific programming skills in a high performance language (e.g. C, C++, Java, Scala, Julia, Go). -Experience using high performance computing environments (clusters). -Experience working with Amazon Web Services or other cloud stacks. Ability to rapidly evaluate the utility of new computational technologies. Experience teaching R or Python. Maintainer of at least one open source project, such as an R package (on CRAN, Bioconductor, or Github) or Python library.
Additional Info:
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.[Click Here to Access the Original Job Post]
We are looking for a creative and insightful Trait Biology Analytics Team Lead to help us transform unprecedented genomics data into higher yielding crops and pest control solutions. You will lead a team that is using genomics data and bioinformatics tools to identify promising transgenes for future biotech crops. Your team will mine bacterial genomes for traits including insect control, herbicide tolerance, and disease resistance; identify targets for gene editing in plant genomes; and apply modern computational biology and machine learning approaches to drive Monsanto’s early discovery pipeline. Role and responsibilities: -Lead a team of ~5 Ph.D. computational biologists working on diverse discovery projects. -Recruit, hire, and develop computational biology and data science talent. -Develop and apply novel algorithms and analytical approaches. -Collaborate with laboratory scientists and business teams to identify challenges, design experiments, and analyze data. -Balance work across a complex and wide-ranging portfolio of biotech discovery projects spanning internal and external research teams. -Partner with IT and other computational teams to turn your team’s cutting-edge science into robust and reproducible analysis pipelines. -Drive computational biology best practices, including adoption of cloud computing, development of reusable libraries, version control, automated testing, thorough documentation, and reproducible research. Required Skills: -Ph.D. in a biological or bioinformatics discipline with 2+ years of work experience -Proven skills and experience in definition and implementation of computational solutions, including facility with a programming language suitable for scientific work or data science, such as R or Python. -Successful leadership of projects that span multiple disciplines, either directly or in a matrix/collaborative environment. -Excellent verbal and written communication skills, especially in communicating computational solutions to scientific problems and conclusions from analysis of complex data. -A highly collaborative approach, with the drive and ability to actively create new connections across the Monsanto Technology organization and outside the company. Desired Skills/Experience: -Genomics domain expertise. -Experience leading data / computational scientists in both technical and career development. -Demonstrated experience driving computational best practices and aligning talent with strategic objectives. -Strong statistics and/or machine learning skills. -Experience with scientific data visualization. -Scientific programming skills in a high performance language (e.g. C, C++, Java, Scala, Julia, Go). -Experience using high performance computing environments (clusters). -Experience working with Amazon Web Services or other cloud stacks. Ability to rapidly evaluate the utility of new computational technologies. Experience teaching R or Python. Maintainer of at least one open source project, such as an R package (on CRAN, Bioconductor, or Github) or Python library.
Requeriments :
Skills :
- Computational Biology
- genomic
- HPC
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in R
- Statistics
Areas :
Additional Info:
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.[Click Here to Access the Original Job Post]