Pacific Northwest National Laboratory Senior Computational Biologist in RICHLAND, Washington
Organization and Job ID
Job ID: 312093
Directorate: Earth & Computational Biology
Division: Biological Sciences
Group: Computational Biology
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a diverse scientific workforce committed to collaborative research. Every year, scores of dynamic, driven scientists come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors. The Computational Biology Group is an integral component of Biological Sciences Division and works closely with other Biological Sciences Division research groups, as well as groups in the areas of applied mathematics, computer science, and statistics.
We are seeking a Senior Research Scientist in the Division, who will join a talented, multi-investigator team to lead projects involving computational small molecule identification applications, relying on machine learning (including AI and deep learning), quantum chemical calculations, cheminformatics, advanced statistical methods, and other computational methods, and bringing these together for national security, human health, environmental exposure, and chemical forensics fields. Additional applications will likely include molecular design, biomolecular function determination, and advanced ‘omics data interpretation. Applicants will help create a vision and deliver projects to accelerate our team’s goal of reducing reliance on authentic reference material for the purpose of small molecule identification in complex samples. Responsibilities include:
Serve as an intellectual lead through development of research proposals and providing guidance on the state-of-the-art approaches, all while considering necessary future directions that keep PNNL a leader in these fields long term.
Bring in external funding to expand the breadth of scientific reach at PNNL, which includes being the PI and task lead on proposals, oversee
Level 3 : Selects and develops technical approaches on assignments with occasional oversight on complex problems. Principal investigator or co-PI on projects or tasks, while integrating capabilities of work team members. Supports scoping, scheduling, and budgeting at a project or major task level. Generates new ideas for proposals and business development opportunities while leading development of technical section of small to medium proposals. Demonstrates ability to acquire funding for self with programmatic impact at the sector and division level. Serves as a role model for quality, safety, and security. Established local reputation with specialization in at least one S&E domain. Making key contributions in setting technical direction.
Level 4 : Selects and develops technical approaches to complex challenges. Principal investigator or co-PI on multiple or significantly complex, and/or high risk projects or tasks and/or involving multiple tasks, capabilities, and organizations. Develops, and realizes new significant project opportunities, leading the development of technical sections of large proposals. Takes lead in scope, schedule, and budget for projects or large tasks Demonstrates ability to acquire funding for self and task level teams. Serves as a role model for quality, safety, and security. May contribute to directorate level operational improvement activities. Expert in at least one S&E domain and the ability to connect multiple domains. Sought after within PNNL for technical leadership to set technical direction.
BS/BA with 5 years of experience, MS/MA with 3 years of experience, or PhD with 1 year of experience
BS/BA with 7 years of experience, MS/MA with 5 years of experience, or PhD with 3 years of experience
PhD in computational chemistry, chemical engineering, or related field with 5+ years of independent research experience.
Demonstrated success in training scientists/students in computational chemistry, metabolomics, or mass spectrometry, computational metabolomics
Work history of leading interdisciplinary teams to develop and execute small to major research projects.
Assistant professor level equivalent or higher.
Nationally recognized scientific leadership.
Broad understanding of the state of computational metabolomics, exposomics, and/or chemical forensics.
Experience designing and implementing novel deep learning networks for chemistry applications.Demonstrated track record of successful/funded proposals.
Strong verbal and written communications skills.
Experience leading broad scientific teams.
Experience coding in Python.
Experience using NWChem, Gaussian, or comparable quantum chemical software.
Experience using HPCs and cloud computing resources
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.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Directorate: Earth & Biological Sciences
Job Category: Scientists/Scientific Support
Group: Computational Biology
Opening Date: 2021-05-07
Closing Date: 2021-07-06