Pacific Northwest National Laboratory Jobs

Job Information

Pacific Northwest National Laboratory Post Doctorate RA - Hydro-Biogeochemical Data-Model Integration in RICHLAND, Washington

Organization and Job ID

Job ID: 310226

Directorate: Earth & Biological Sciences

Division: Biological Sciences

Group: Ecosystem Science

Job Description

Pacific Northwest National Laboratory (PNNL) in Richland, WA is seeking a highly motivated postdoctoral research associate with strong background in the integration of multi-omic data (e.g., metagenomics, metatranscriptomics, metametabolomics) with metabolic models in environmental systems (e.g., sediments, soils, surface water) that contain highly diverse microbial communities.

The candidate will use data generated through the WHONDRS consortium ( ) to develop metabolic models and link those to reactive transport models that integrate hydrology with biogeochemistry and microbiology. WHONDRS is part of a large interdisciplinary project focusing on elucidation of transferable principles governing river corridor ecosystems. There will also be opportunities to interface with other projects spanning scales and systems. Duties will include modeling of WHONDRS (and related) data, with an emphasis on linking metabolic, biogeochemical reaction network, and reactive transport models preferably within the KBase ( ) environment. The candidate will be expected to generate peer-reviewed publications and open source modeling/analysis tools.

This is a full-time position anticipated to last 3 years (contingent on performance) starting in the Spring of 2020. Applications shall be submitted online at When prompted to upload a résumé, please provide a single PDF file containing (1) a cover letter of 1 to 2 pages summarizing research interests and qualifications that fit the advertised position and possible start date at PNNL if selected, and (2) a CV listing past employment, education and research experiences, skills, publications, and contact information of three references.

Minimum Qualifications

Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications

Demonstrated ability to analyze, model, and interpret multi-omic data from environmental systems containing diverse microbial communities, with a preference for experience with belowground systems.

Demonstrated modeling, informatics, and programming experience for analysis/modeling of/with diverse types of data (including multi-omics) using contemporary scripting languages such as Python and R, as well as Jupyter notebooks.

Strong written and oral communication skills with significant motivation to publish in the peer reviewed literature, and to make outputs (e.g., code) openly available.

Strong interest in team-based interdisciplinary science, with the willingness and ability to work independently when required.

Ph.D. in environmental microbiology, biogeosciences, or related field.

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.

Directorate: Earth & Biological Sciences

Job Category: Post-Graduates and Post-Docs

Group: Biological Systems Science

Opening Date: 2019-12-17

Closing Date: 2020-02-14