Job Location: Blacksburg, VA
Work type: Staff
Senior management: College of Science
Department: Biological Sciences
Location: Blacksburg, Virginia
Categories: Administrative / Clerical, Information Systems / Technology, Research / Scientific, Data Analytics / Security
Job Description
The Ecological Forecasting Project at Virginia Tech is recruiting a computational research specialist to develop, manage, and improve forecasting workflows across multiple domains in ecology. The candidate will be chosen based on prior experience, with salary commensurate with experience and expertise. This position can be remote or in-person with a preference for in-person; remote work would be synchronous with the team in the eastern U.S. time zone.
We seek an energetic and enthusiastic team member to join our innovative and dynamic research group to help develop real-time forecasting software and computing infrastructure that will inform day-to-day environmental resource management. This position will be a core member of our research team, which includes multiple faculty members, post-docs, and students working at the intersection of environmental science and data science to co-create usable software and data products for our research team and the broader community. This position will provide many opportunities for skill and professional growth within our interdisciplinary collaborative team, which integrates team science, community engagement, and education within our scientific mission.
Responsibilities for this position include: management of cloud-based environmental data and workflows, web dashboard development and deployment, development of open-source software, development of open training materials, supporting programming efforts of the team, and administration and upkeep of servers and cloud infrastructure.
Candidates should submit a cover letter addressing how they meet the required and preferred qualifications described below, resume/CV detailing relevant work experience, and list of three references with their contact information. This position is for at least two years, contingent upon satisfactory performance reviews. Position will remain open until filled. Application review will begin on November 1, 2022.
Required Qualifications
- Bachelor’s degree in data science, environmental science, statistics, computer science, or related field
- Must have excellent teamwork and collaborative skills to work effectively on computational research
- Proficiency in R (or similar programming language)
- Experience with command line interface
- Experience with collaborative coding using Git and GitHub
- Experience with data visualization in R or similar language
- Excellent and demonstrated organizational and efficient time management skills
- Excellent communication skills, including verbal, written, and graphical communication skills
Preferred Qualifications
- Master’s degree in data science, environmental science, statistics, computer science, or related field
- Experience with environmental data and/or models
- Experience working in a highly interdisciplinary collaborative team
- Experience with command line interface in Linux environments
- Experience analyzing time-series datasets
- Experience developing RShiny applications
Pay Band
4
Appointment Type
Restricted
Salary Information
Commensurate with experience
Review Date
November 1, 2022
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Dreama Price at dreama@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: October 4, 2022
Applications close:
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