Institution
Donald Danforth Plant Science Center
Location
Saint Louis, MO, USA

Description
The Baxter Lab and Mockler Lab at the Donald Danforth Plant Science Center are recruiting multiple enthusiastic postdoctoral associates to work on a DOE-funded project studying the response to abiotic stresses in Sorghum and Setaria. Candidates will work at the nexus of phenotyping, quantitative genetics, comparative genetics, and genomics. Large datasets from field and controlled environment phenotyping, genome sequencing, and transcriptomics are available, and more will be produced during the project.

Qualifications

• Ph.D. in a field related to plant bioinformatics (i.e., plant biology, quantitative genetics, bioinformatics, genomics, computer science, statistics) is required
• Experience in data science/bioinformatics, genomic data analysis, and statistical approaches

Institution
Donald Danforth Plant Science Center
Location
Saint Louis, MO, USA

Description
The laboratory of Dr. Christopher Topp at the Donald Danforth Plant Science Center is a plant root phenomics lab, innovating uses of 3D imaging modalities to investigate roots and their environment. We are seeking someone interested in plant biology and image analysis to help process and measure digitized plant samples using both external and internal analysis tools.

This involves maintaining a robust computational infrastructureincluding dedicated workstations, storage and processing servers, virtual machines, internal code bases, third-party software licenses, VR systems, cloud storage, databases, resource provisioning, development environments, and data management. This plays a key role in cutting-edge research and analytics to solve problems in agricultural sustainability. The role allows for creativity and autonomy in the design and development of tools and procedures. The successful candidate will be organized, independent, creative, have strong communication skills, desire to learn, and work with outstanding collaborative capability.

Qualifications

• B.Sc. in Computer Science, Computer Engineering, Information Technology or similar degree
• Strong understanding or exposure to Linux operating systems and familiarity with tools used to manage packages (dnf/yum/apt), compiling from source (i.e., Makefile), and routine system maintenance and troubleshooting
• Strong proficiency with Python and its ecosystem, including data science and scientific computing
• Strong proficiency in C/C++ (Exposure Go is acceptable)
• Familiar with relational databases (SQL)
• Familiar with version control systems (Git) and GitHub
• Comfortable working with custom file formats, both binary and plan text formats