Pacific Northwest National Laboratory logo
Pacific Northwest National Laboratory

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.

Post Master's Research Associate - Scientific Data Exploration

Data ScientistData ScientistFull TimeRemoteMid LevelTeam 5,001-10,000

Location

United States

Posted

31 days ago

Salary

$80.5K - $104.7K / year

Seniority

Mid Level

Job Description

Post Master's Research Associate - Scientific Data Exploration

Pacific Northwest National Laboratory

Role Description At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. - Aggregate, transform, and integrate structured and unstructured datasets and documents into a central, structured database. - Knowledge of environmental and power grid systems, with experience analyzing and organizing power grid data. - Development and evaluation of large-scale generative AI workflows for material science applications. - Design and deploy scalable agentic AI systems with autonomous workflows. - Design of scalable data systems to support large-scale scientific and production workflows. - Development and evaluation of DataMesh-style scientific retrieval systems. Qualifications - Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. - Masters degree in Computer Science, Data Science, Applied Mathematics, Electrical Engineering, Computational Engineering, or a closely related field. - Prior research experience, including internship experience within a national laboratory setting. - Experience developing or experimenting with agentic systems or machine learning methods. - Experience with developing data pipelines to extract and aggregate relevant information. - Strong programming experience in C++, and/or Python. - Strong written and verbal communication skills. - Experience working in collaborative and interdisciplinary research environments. Requirements - Not Applicable for Hazardous Working Conditions/Environment. - This is not a Testing Designated Position (TDP). Benefits - Medical insurance, dental insurance, vision insurance. - Robust telehealth care options, several mental health benefits. - Free wellness coaching, health savings account, flexible spending accounts. - Basic life insurance, disability insurance, employee assistance program. - Business travel insurance, tuition assistance, relocation, backup childcare. - Legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. - Company-funded pension plan and 401(k) savings plan with company match. - Up to 120 vacation hours per year and ten paid holidays per year. Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules.

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