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Job Location: Saint Louis, MO
Job Detail:
The Phenotyping and Data Science teams at the Donald Danforth Plant Science Center are seeking an individual to fill a full-time position as a Data Scientist I (anticipated state date, March 2023). The Data Scientist I will work at the intersection of plant phenotyping, computational sciences, and geospatial sciences. The Data Scientist I will work with members of the Data Science, and Phenotyping teams, as well as the Taylor Geospatial Institute, to collect and analyze field phenotyping data, including satellite and uncrewed aircraft images. This work includes programming (Python in particular), version control, statistical analysis (R preferred), data visualization, data management, image analysis, geospatial analysis, and other relevant skills.
Responsibilities:
- Coordinating with members of the Data Science and Phenotyping teams
- Coordinating with data collection teams at field sites
- Developing workflows and pipelines for plant phenotyping/geospatial data analysis
- Presenting results to team members, field researchers, and other collaborators
- Other duties as assigned
Required knowledge, skills and abilities:
- Highly organized individual who can maintain progress in a fast-paced environment
- Must be able to multitask and manage time effectively
- Must be comfortable collaborating and working across teams
- Good communication skills
- Familiarity with basic computer programs such as Google Drive/Microsoft Office365 and communication tools such as Slack
- Live the Danforth Center values: Collaboration, Diversity & Inclusion, Innovation, Integrity & Respect, Environmental Sustainability, and Stewardship
Qualifications:
- Familiarity with several of the following: navigating the Linux/Unix command line, programming language proficiency, bioinformatics, statistics, image analysis, geospatial analysis, machine learning, algorithm development, data structures, workflow development, and high-performance/high-throughput computing
- Experience with data collection and/or image analysis is preferred
Education:
- Bachelors degree with 5+ years of experience, or a Masters degree or PhD with an equivalent combination of experience in bioinformatics, computer science, data science, geospatial sciences, or relevant fields
Submission:
- Cover letter
- CV/Resume
- Contact information for two (2) professional references
About the Donald Danforth Plant Science Center:
Founded in 1998, The Donald Danforth Plant Science Center is an independent, non-profit organization with a mission to improve the human condition through plant science. Our focus is scientific research at the nexus of food, energy and the environment to improve the productivity and sustainability of agriculture. We assemble interactive teams of scientists and develop unique platforms to discover underlying principles about how plants work. We then convert that knowledge into useful crops and products, and partner with organizations that are best positioned to solve problems where they exist around the world. The Centers work is funded through competitive grants from many sources, including the National Institutes of Health, U.S. Department of Energy, National Science Foundation and the Bill & Melinda Gates Foundation.
The Donald Danforth Plant Science Center is proudly an equal employment opportunity employer. Employment decisions at the Danforth Center are based on merit, qualifications, and abilities. It is our policy that the Danforth Center does not discriminate in employment opportunities on the basis of race, color, religion, sex, sexual orientation, gender identity, age, or national origin and status as protected veterans or individuals with disabilities. As a federal contractor, the Danforth Center is required to comply with the 2021 Executive Order mandating full vaccination status of employees by December 8, 2021 unless the employee is legally entitled to an accommodation due to physical disability or sincerely held religious belief. If you need a reasonable accommodation to access the information provided on this web site, please contact Human Resources, at 314-587-1033 for further assistance.
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