PNNL Careers

Post Doctorate RA - Bioinformatics


Job Description

Job ID: 308027
Full/Part Time: Full-Time
Regular/Temporary: Temporary

Job Description

The candidate will develop data analysis methods and pipelines for high-throughput proteomics and metabolomics data, and perform data analysis to integrate DNA/RNA sequence data, proteomics and metabolomics data.
The candidate will contribute to fundamental science research programs studying microbial communities and environmental microbiology.
Experience with high performance computing platforms, statistical computing, workflow management systems, and building Docker contains 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 publish 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

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

The ideal candidate will have a track record for interdisciplinary research, particularly in the analysis of ‘omics data, including genomic, transcriptomic, 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). They should have a strong fundamental biology background and statistical computing experience. The candidate should have excellent communication skills with a demonstrated interest in multi-disciplinary, collaborative research.

PhD in Computational Biology or related field

Organization and Job ID

Job ID: 308027
Directorate: Earth & Biological Sciences
Division: Science & Technology
Group: Scientific & Computing Operations