Pacific Northwest National Laboratory Data Scientist in RICHLAND, Washington
Organization and Job ID
Job ID: 310667
Directorate: Earth & Biological Sciences
Division: Environmental Molecular Sciences
Group: Computing Analytics & Modeling
The Pacific Northwest National Laboratory (PNNL) and the Environmental Molecular Sciences Laboratory (EMSL) seeks a data scientist focused data integration for predictive understanding of complex biological and environmental systems. The EMSL is a U.S. Department of Energy (DOE) Office of Science user facility that provides innovative and breakthrough experimental and computational science that addresses DOE Office of Biological and Environmental Research (BER) programs by providing access to more than 75 state-of-the-art instrumental and high-performance computing capabilities. EMSL users address some of the most important molecular-to-mesoscale challenges relevant to DOE missions.
The candidate should have experience with or interest in scientific software development and management of scientific data in accordance with the FAIR principles. The position requires an ability and willingness to work with EMSL users to assist them in achieving their scientific objectives. The candidate must therefore be adept collaborating with interdisciplinary technical teams through strong communication, interpersonal, and data science skills and experience in addition to be willing to assist domain-expert researchers with a variety of research interests. The candidate will also contribute to research in areas important to EMSL and PNNL.
Designs, develops, and implements methods, processes, and systems to analyze diverse data. Applies knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. Produces solutions driven by exploratory data analysis from complex and high-dimensional datasets. Designs, develops, and evaluates predictive models and advanced algorithms that lead to optimal value extraction from the data. Demonstrates ability to transfer skills across application domains.
Contribute to a research program in data science applied to the biological or environmental sciences, developing data analysis and integration approaches for omics or imaging data.
Collaborate with researchers on the development and innovative application of advanced simulation, data analysis, visual analytics, or other computational techniques to research problems relevant to DOE-BER missions where computational approaches are significant.
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
Level 1 : Receives instruction on required tasks and reports results on time and on budget, while working under guidance from experienced staff. Takes initiative to set personal direction and goals. Work is conducted with a high standard of quality, safety, and security.
Level 2 : Receives guidance on new assignments, making preliminary selections on technical alternatives; independently completes recurring assignments. Defines and leads project work at a small task/project level, reporting results on time and on budget. Contributes to proposals. Embraces expectations for quality, safety, and security.
BS/BA or MS/MA with 0-1+ years of experience.
BS/BA with 2 years of experience, or advanced degree.
Experience or interest in evaluation/application of new algorithms and implementations for the biological or environmental sciences.
Experience or interest in data management and scientific application processing, including data warehousing, workflow development, and automation.
Experience or interest in participating in domain-science software development teams.
Research experience in theory or methods in areas such as bioinformatics, data science, computer science, or computational chemistry.
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: Comput Analytics & Modeling
Opening Date: 2020-03-13
Closing Date: 2020-04-12