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Junior Python Developer Jobs

Pacific Northwest National Laboratory

Onsite

Software Engineer II

Software Engineer

PhD or MS/MA or BS/BA with 2+ years relevant experience; cloud, AI/ML, data pipelines, and production software development knowledge preferred

Overview <div>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.  </div><div> </div><div>Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. <span data-ccp-charstyle="normaltextrun" data-ccp-charstyle-defn="{"ObjectId":"ac0262f4-8a9e-5820-b908-2d943c5f7113|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Calibri",469777842,"Arial",469777843,"Calibri",469777844,"Calibri",201341986,"1",469769226,"Calibri,Arial",268442635,"22",469775450,"normaltextrun",201340122,"1",134233614,"true",469778129,"normaltextrun",335572020,"1",469778324,"Default Paragraph Font"]}">In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.  The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas: Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to   Model the Earth system from the subsurface to the atmosphere.    The Environmental Molecular Sciences Division is comprised of 18 interdisciplinary research teams focused on deciphering molecular-level interactions driving biological and environmental processes across temporal and spatial scales. Through computational analysis and modeling, these findings contribute to predictive understanding of how systems respond to environmental perturbations thus enabling solutions to the nation’s energy, environmental, and human health challenges. The division also manages the Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus that accelerates the research of scientists around the world by providing access to world-class expertise, instrumentation, and computational resources. </div> Responsibilities The Functional and Systems Biology group within the Environmental Molecular Sciences Division at Pacific Northwest National Laboratory (PNNL) is seeking a postdoctoral research associate to support the development, operation, and application of Fourier transform mass spectrometry (FTMS) platforms, including Orbitrap and FTICR-based systems. This work is conducted within the Environmental Molecular Sciences Laboratory (EMSL), a U.S. Department of Energy Office of Science User Facility, and will involve close interaction with internal researchers and external users. The successful candidate will work as part of a multidisciplinary team to design and execute experiments leveraging high-resolution mass spectrometry for biological and environmental systems, including plant, microbial, soil, aqueous, and aerosol samples. Research efforts will contribute to applications in biotechnology, the bioeconomy, and the characterization of systems relevant to critical materials and mineral cycling, while maintaining a primary focus on advancing FTMS capabilities and methodologies. Responsibilities include operation of commercial and custom-modified instrumentation, implementation of new experimental methods, and systematic evaluation of instrument performance. The candidate will contribute to ongoing research and development efforts by assisting in instrument troubleshooting, maintenance, and incremental hardware and method improvements. This role will involve working with experimental systems that may not have established workflows, requiring the ability to diagnose issues, adapt approaches, and document procedures for broader use. Additional responsibilities include developing and applying programmatic data analysis workflows (e.g., Python-based approaches) to evaluate experimental results, quantify performance metrics, and support reproducible analysis of complex datasets. The candidate will be encouraged to leverage emerging approaches in automation, machine learning, and AI-assisted analysis where appropriate to improve experimental throughput, data interpretation, and reproducibility. The postdoctoral researcher will collaborate with interdisciplinary teams and EMSL users, contribute to scientific publications and reports, and ensure compliance with laboratory safety and operational standards. This role provides an opportunity to engage in cutting-edge user-driven science while developing expertise in advanced mass spectrometry instrumentation and data-driven experimental workflows. Qualifications Minimum Qualifications:<ul><li>Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.</li></ul>Preferred Qualifications:<ul><li>The ideal candidate will have a Ph.D. in chemistry, analytical chemistry, physics, engineering, or a related field, with experience in mass spectrometry or advanced analytical instrumentation. Familiarity with high-resolution mass spectrometry platforms (e.g., Orbitrap, FTICR, or Q-TOF) and tandem MS experiments is desirable.</li><li>Candidates should demonstrate experience designing and executing experiments involving complex chemical or biological systems, such as metabolomics, proteomics, environmental samples, or complex mixtures. Experience operating laboratory instrumentation and performing basic troubleshooting and maintenance is expected.</li><li>Experience with programming or scripting (e.g., Python) for data analysis, visualization, or workflow automation is highly desirable. Candidates should show an interest in developing reproducible and scalable data analysis approaches rather than relying on manual or spreadsheet-based workflows.</li><li>An interest in instrument development, method development, or performance characterization is advantageous. Exposure to emerging approaches in automation, machine learning, or AI-assisted data analysis is beneficial but not required.</li><li>The successful candidate should be comfortable working in multidisciplinary teams and engaging with EMSL users in a collaborative research environment. Strong written and oral communication skills are required, along with evidence of scientific productivity (e.g., publications or presentations).</li></ul> Hazardous Working Conditions/Environment Not Applicable Additional Information Position is ONSITE ONLY, and located in Richland, WA. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL 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; here is your chance to be one of them!  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. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use.  Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements 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. Rockstar Rewards Employees and their families are offered 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. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.* Research Associates excluded.**All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $69,000.00/Yr. Maximum Salary USD $119,100.00/Yr.

Post Doctoral RA – Mass Spectrometry

Post Doctoral Research Associate

PhD within past five years or within next 8 months; experience mass spectrometry and analytical instrumentation; programming (Python); strong communication skills.

Overview 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.   Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.  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. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time.   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. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.  Responsibilities <ul><li>Data Preparation & Analysis: Aggregate, transform, and integrate structured and unstructured datasets and documents, such as equipment datasheets, from environmental and power grid systems domains into a central, structured database.</li><li>Power Grid Systems: Knowledge of environmental and power grid systems, with experience analyzing and organizing power grid data from a variety of external sources.</li><li>Generative AI & Foundation Models: Development and evaluation of large-scale generative AI workflows for material science applications, such as atomic-resolution and hyperspectral data analysis, using multi-agentic systems, tool use, and optimizations for robustness, alignment, and efficiency.</li><li>Agentic AI Systems & Autonomous Workflows: Design and deploy scalable agentic AI systems with autonomous workflows, dynamic tool use, and complex decision-making to support advanced scientific and operational tasks.</li><li>Data Engineering & Pipeline Architecture: Design of scalable data systems, including data meshes and knowledge graph-enabled pipelines, to support large-scale scientific and production workflows involving scientific instrumental images, metadata, and attribute-rich data.</li><li>Scientific Retrieval & DataMesh Systems: Development and evaluation of DataMesh-style scientific retrieval systems that combine embedding-based vector databases, knowledge graphs, and attribute extraction to enable content-based search and analysis over instrumental images and associated metadata.</li></ul> Qualifications Minimum Qualifications:<ul><li>Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university.  </li></ul>Preferred Qualifications:<ul><li>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.</li><li>Experience developing or experimenting with agentic systems or machine learning methods in engineering or scientific research applications.</li><li>Experience with developing data pipelines to extract and aggregate relevant information from multiple sources.</li><li>Strong programming experience in C++, and/or Python.</li><li>Strong written and verbal communication skills.</li><li>Experience working in collaborative and interdisciplinary research environments.</li></ul> Hazardous Working Conditions/Environment Not Applicable. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL 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; here is your chance to be one of them!  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. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use.  Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements 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. Rockstar Rewards Employees and their families are offered 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. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $80,500.00/Yr. Maximum Salary USD $104,700.00/Yr.

Post Master's Research Associate - Scientific Data Exploration

Research Associate

Master's degree within 24 months or within 8 months; strong background in computer science/data science; experience with AI, data pipelines, and C++/Python.

Overview 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.   Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.  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. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time.   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. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.  Responsibilities <ul><li>Data Preparation & Analysis: Clean, transform, and integrate structured and unstructured datasets and documents, including equipment datasheets and ArcGIS-based spatial data, from environmental and energy systems domains.</li><li>Power Grid Systems, Simulation & Resilience: Knowledge of power grid systems and resilience, with experience applying agentic AI to model power grid simulations, analyze grid-related problems, and support more efficient and reliable operational decision-making.</li><li>Data Engineering & Pipeline Architecture: Design scalable data systems (ETL, data lakes, data meshes) that support large-scale legislation, regulatory, and legal document workflows.</li><li>Software Engineering & DevOps: CI/CD, testing, version control, and open-source practices enabling reliable, reproducible systems across research and production.</li><li>Computer Vision & Image Analysis: Develop and apply computer vision methods for crystallography workflows and metadata processing, including image analysis, object detection, tracking, segmentation, and automated interpretation, to enable automation of light source beamline operations in scientific and real-world environments.</li><li>Generative AI & Foundation Models: Development and evaluation of large-scale generative AI systems, including fine-tuning, agents, tool use, and optimization for robustness, alignment, and efficiency. </li><li>Agentic AI Systems & Autonomous Workflows: Design and deploy scalable agentic AI systems with autonomous workflows, dynamic tool use, and complex decision-making to support advanced scientific and operational tasks.</li></ul> Qualifications Minimum Qualifications:<ul><li>Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university.  </li></ul>Preferred Qualifications:<ul><li>Masters degree in Computer Science, Data Science, Applied Mathematics, Electrical Engineering, Computational Engineering, or a closely related field.</li><li>Prior research experience, including internship experience within a national laboratory setting.</li><li>Experience in data preparation, integration, and applications involving large language models.</li><li>Strong technical computing skills in Python, with proficiency in NumPy or similar scientific computing frameworks.</li><li>Ability to translate ambiguous or evolving technical objectives into clear, actionable analytical approaches.</li><li>Experience working in applied research settings or collaborative R&D environments.</li><li>Demonstrated ability to work effectively within interdisciplinary and geographically distributed teams, using a collaborative and solutions‑oriented approach.</li></ul> Hazardous Working Conditions/Environment Not Applicable. Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL 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; here is your chance to be one of them!  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. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at <a href="mailto:careers@pnnl.gov" target="_blank" rel="noopener">careers@pnnl.gov</a>. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use.  Under federal law, marijuana remains an illegal drug.  If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.  Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.  The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates:If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements 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. Rockstar Rewards Employees and their families are offered 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. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. <a href="https://careers.pnnl.gov/rockstar-rewards" target="_blank" rel="noopener">Click Here For Rockstar Rewards</a> Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $80,500.00/Yr. Maximum Salary USD $104,700.00/Yr.

Post Masters Research Associate - AI for Scientific and Energy Systems

Post Masters Research Associate

Master’s degree required within 24 months or within the next 8 months; preferred fields include CS, data science, mathematics, EE, computational engineering; experience with data prep, large language models; Python with NumPy.

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