Pacific Northwest National Laboratory Jobs

Job Information

Pacific Northwest National Laboratory Computational Biologist in RICHLAND, Washington

Organization and Job ID

Job ID: 310920

Directorate: Earth & Biological Sciences

Division: Biological Sciences

Group: Integrative Omics

Job Description

The Integrative Omics Group at the Pacific Northwest National Laboratory (PNNL) is seeking an experienced computational biologist to join our team. Expertise in precision medicine applications, analysis of multi-omic data, biomarker discovery, data management, software development, and management of multidisciplinary teams is expected.

The Computational Biologist will contribute to diverse fundamental science research programs studying human health problems such as cancer, diabetes and infectious diseases as well as microbial communities and environmental microbiology. The candidate will be responsible for data analysis from various high-throughput 'omics platforms, including bulk and single-cell DNA/RNA sequence data, proteomics and metabolomics. The position involves technical work with complex multi-omics data from ongoing studies, focusing on development and application of methods for data coordination and integration, machine learning, and biological data interpretation. The incumbent will also have the opportunity to direct and/or participate in proteomics, informatics, and computational biology methods development and validation for precision medicine, data integration, and biomarker discovery. PNNL works in multidisciplinary teams and the researcher will be expected to both work in and lead teams in this environment, as well as lead and mentor in manuscript and grant writing.

The ideal candidate should have a strong fundamental biology background with significant statistical computing experience and experience in processing and analysis of high-throughput multi-omics data. The candidate should have excellent communication skills with a demonstrated track record of seeking and securing independent and collaborative research funding. He/she should have experience with large collaborative biological projects and setting vision and direction for those projects. The candidate should also have an interest in applying new approaches and knowledge to science problems associated with human health, bioenergy, and carbon cycling . They should be highly proficient in at least one programming language (e.g. Python, R, or C#), experienced in software development practices (version control, unit testing, etc.) and should be familiar with data management practices for handling large data sets

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 bioinformatics, biology, biostatistics, computer science or engineering with at least 8 years experience.

  • Significant experience with software development tools (GitHub), parallel programming experience, and Python or R development experience

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.

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: Scientists/Scientific Support

Group: Integrative Omics

Opening Date: 2020-06-03

Closing Date: 2020-08-01

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