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Data Scientist/Programmer, Bioresource Science & Engineering Group

Date: Jun 10, 2021

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 5836 


The Biodiversity and Sustainable Systems Section within the Environmental Sciences Division,  at Oak Ridge National Laboratory (ORNL),, is seeking a technical professional to provide data management, analysis, and programming support. You will join a highly qualified team of engineers and natural scientists in the Bioresource Science and Engineering Group (BSE) who develop strategies to deliver agricultural and forest resources to produce fuels, power/heat, and biomaterials. Our goal is to develop and apply quantitative tools to advance our understanding of how bioresources can be sustainably and reliably produced, delivered, and utilized to enable expansion of the US bioeconomy while also preserving ecosystem services.


ESD is an interdisciplinary research and development organization with more than 60 years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in creating solutions to help sustain the Earth’s natural resources. Our scientists conduct research, develop technology, and perform analyses to understand and assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies.


The BSS Section explores how genes, organisms, populations, and communities influence, and are influenced by, the management, health, and sustainability of ecological systems. Researchers develop and implement tools and methods to quantify and mitigate threats to biodiversity and ecosystem services. They advance the state of water resources science and engineering through multidisciplinary research focused on data analytics, model simulation, engineering design, decision support and visualization. Scientists are developing advanced simulations to understand human health, economic, and environmental protection dimensions of existing and emerging sustainable energy alternatives. They are developing solutions that use renewable, low-carbon feedstock sources to expand the US bioeconomy while preserving ecosystem services.


Major Duties/Responsibilities

You will be involved with designing, coding, testing, documenting, and maintaining complex programs and datasets as a member of our research project team. This work will be performed under the direction of PIs leading projects to better understand the availability and environmental impacts of biomass resources to support the US bioeconomy. Tackling these questions surrounding the complex interactions of biology, environment, and industrial development requires large, varied datasets and innovative algorithms. We are seeking a self-starter with creative problem-solving skills and expertise in data management, programming, and data visualization. The following skills and experience are desirable:



  • Master’s degree in computer science or related field or bachelor’s degree with experience in scientific computing
  • Experience in designing, coding, testing, debugging, and documenting complex programs in Python and/or R; familiarity with Fortran is beneficial
  • Familiarity with collaborative open science workflow tools including Jupyter Notebooks/R Markdown, Knime, or GitHub version control system
  • Experience working with geospatial & remote sensing data is preferred
  • Experience in data visualization software such as Tableau is preferred
  • Experience working with databases such as PostgreSQL or MySQL is a plus
  • Familiarity with machine learning and High-Performance Computing (HPC) is a plus
  • Good communication skills in English, both oral and written
  • Desire to learn and adopt new tools and technologies as required by projects
  • Willingness to participate creatively in a variety of collaborative, dynamic team environments



This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.

Nearest Major Market: Knoxville