Research Staff Scientist (Remote Eligible)

Requisition Id 14209 

Annual Salary Range: $151,880.00 - $175,000.00 

Work-Site Type: Remote 

ORNL offers a flexible work environment that supports both the organization and the employee.  In addition, this position is considered remote-eligible for ORNL in pre-approved locations.  Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs.

Note about pay range:

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US

*This is a part-time casual position.*

Overview:  

We are seeking a Research Staff Scientist who will focus on the application of statistics and advanced data analysis tools to environmental and ecological problems, microbial ecology, and environmental data management. This position resides in the Biodiversity and Ecosystem Health Group in the Biodiversity and Sustainable Systems Section, Environmental Sciences Division, Biological and Environmental Systems Science Directorate at ORNL.  

Major Duties/Responsibilities: 

• Process new (post 2018) TVA data. Conduct data completeness and consistency checks. Build a master sample table. 
• Construct data dictionaries and lookup tables needed for data ingest. Write and test code to perform data ingest. Ingest data. 
• Write and test code to perform data transformation. Transform data. 
• Integrate new data with historical data. This task will focus on the existing historical data previously processed including benthic bioaccumulation, fish bioaccumulation, fish bioindicators, fish fertility, fish reproduction, fish reproductive competence, and food chain. 
• Provide support on an as-needed basis for projects across the Environmental Sciences Division in the areas of data science, coding, statistical analysis, and data management.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

• A MS degree in Statistics, Computer Science, Ecology, or a related discipline
• A minimum of 12 years of experience in data analysis and database management.
• Programming skills in Python/R

Preferred Qualifications:

• Experience with the data management workflows from the prior work done by ORNL ESD on the TVA Kingston Fossil Plant coal ash spill, ORNL and TVA data management best practices and requirements.
• Excellent written and oral communication skills.
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

About ORNL

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 7,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

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 ORNLRecruiting@ornl.gov.

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.