Pacific Northwest National Laboratory Team Leader for Computational Metabolomics in RICHLAND, Washington
Organization and Job ID
Job ID: 32352
Directorate: Earth & Environmental Sciences
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 Integrative Omics and Biological Systems Science research groups, as well as groups in the areas of applied mathematics, computer science, and statistics.
We are seeking a Senior Research Leader with expertise in Computational Metabolomics, who will lead research efforts to transform the utility of mass spectrometry for molecular measurements of biological systems and to accelerate our laboratory’s goal of reducing reliance on authentic reference material for the purpose of small molecule identification in complex samples. The incumbent will contribute to a Computational Metabolomics research vision that includes standards-free identification and quantification of molecules, characterization of measurement uncertainty, analyte-specific detection capabilities. The ideal candidate will have experience with computational small molecule identification applications using 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. Analytical chemistry experience is also preferred. The successful candidate will also participate in a line management role for a team of research staff who applies computational chemistry, cheminformatics and software engineering to advance molecular identification and quantification across proteomics, metabolomics and lipidomics technologies.
Provide scientific and technical leadership to advance PNNL’s leadership in the development and application of state-of-the-art approaches for standards-free molecular measurements using mass spectrometry.
Develop independently-funded research programs through competitive proposals and collaboration with internal and external scientists to expand the breadth of scientific impact at PNNL, including being the PI on proposals, developing high-impact publications, and delivering scientific advances that elevate PNNL’s reputation in metabolomics and computational chemistry.
Integrate with the PNNL team leading the development of new analytical metabolomics methods based on multi-dimensional separations, including ion mobility spectrometry
Engage with sponsors to create a research vision that drives future funding opportunities focused on the application of standards-free molecular measurements in a variety of research areas through professional societies, workshops and conferences, and national research committees.
Hire, grow and develop the next generation of early- and mid-career researchers to work collaboratively with researchers across PNNL and other institutions around the world to enhance PNNL’s reputation in Computational Metabolomics.
Participate in strategic planning and line management activities, building strong relationships between project managers, peers, upper management and stakeholders to promote a healthy organizational culture, advocate for staff members through career development coaching and mentorship, and maintain strong professional networks for collaboration.
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
Level 4: 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. Holds leadership role in professional community. Organizes and chairs sessions at national meetings of professional societies. Lead author or developer on a significant number of technical products. Recognized by sponsors and collaborators for delivery on important programmatic elements.
Level 5: Established nationally as an expert in at least one S&E domain. Establishing new approaches at a national level and advancing state of the art concepts. Sought out to participate in peer reviews, and book chapters establishing the foundational aspect of the discipline. Sought out as an invited speaker at national forums. Displays a significant record of technical products influencing their discipline. Recognized by Lab leadership, sponsors and collaborators as a resource for resolving challenges with impact at a significant programmatic or Lab mission level.
BS/BA with 7 years of experience, MS/MA with 5 years of experience, or PhD with 3 year of experience
Demonstrated success in leading research projects that utilize computational chemistry, metabolomics, mass spectrometry, or computational metabolomics
Demonstrated ability to acquire funding for significantly complex projects that involve multiple tasks or capabilities.
PhD in computational chemistry, chemical engineering, or related field with 10+ years of independent research experience.
Associate professor level equivalent or higher.
Internationally recognized scientific leadership.
Broad understanding of the state of computational metabolomics, exposomics, and/or chemical forensics.
Experience implementing novel deep learning networks, quantum chemical software and using high performance or cloud computing resources for chemistry applications.
Demonstrated track record of successful/funded proposals and high impact publication/citation record.
Experience leading broad scientific teams and building a vision for research strategy or capability development.
Strong verbal and written communications 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 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.
Must have the ability to obtain a security clearance
US citizenship required
Directorate: Earth & Biological Sciences
Job Category: Scientists/Scientific Support
Group: Computational Biology
Opening Date: 2021-07-09
Closing Date: 2021-09-07