PNNL Careers

Computational Scientist


Job Description

Job ID: 308021
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 candidate will be responsible for analysis of metabolomics and proteomics data from high-throughput mass spectrometry platforms.
• Experience with high performance computing platforms, statistical computing and data integration methods is highly desirable.
• The successful candidate will be expected to assist computational biology methods development and validation, to work directly with experimental biologists in interdisciplinary teams, and to contribute to presentations and journal articles.
• 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

Minimum Qualifications

BS/BA with 2 years experience; MS/MA with 0 years of experience; PhD with 0 years experience

Preferred Qualifications

• Masters in Bioinformatics or related field with at least 2 years relevant work experience
• 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: 308021
Directorate: Earth & Biological Sciences
Division: Environmental Molecular Sciences Division
Group: Scientific & Computing Operations