PNNL Careers

Computational Scientist

RICHLAND, WA


Job Description

Job ID: 308026
Full/Part Time: Full-Time
Regular/Temporary: Regular

Job Description

• The Bioinformatics Scientist will contribute to fundamental science research programs studying microbial communities and environmental microbiology.
• The successful candidate will be expected to lead computational biology methods development and validation for analysis of metabolomics and proteomics data from high-throughput mass spectrometry platforms.
• The candidate will be expected to work directly with experimental biologists in interdisciplinary teams, and to contribute to presentations and journal articles.
• Experience with high performance computing platforms, statistical computing and data integration methods is highly desirable.
• Successful candidates will have experience working as part of a team, strong verbal and written communication skills, and effective time-management skills.


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 jobs.pnnl.gov.


Minimum Qualifications

BS/BA with 5 years of experience; MS/MA with 3 years of experience; PhD with 1 year of experience


Preferred Qualifications

• PhD in Computational Biology or related field
• Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field

The ideal candidate will have a track record for interdisciplinary research, particularly in the analysis of proteomic and metabolomic data, and be proficient in one or more scripting languages (Perl, Python), as well as one or more statistical computing languages (R or MatLab). He/she should have a strong fundamental biology background with significant statistical computing experience. The candidate should have excellent communication skills with a demonstrated interest in multi-disciplinary, collaborative research. The candidate should also have an interest in applying new approaches and knowledge to science problems associated with the underlying physiological and biological mechanisms of import to carbon cycling or bioenergy.


Organization and Job ID

Job ID: 308026
Directorate: Earth & Biological Sciences
Division: Environmental Molecular Sciences
Group: Scientific & Computing Operations