Job Description

Essential Job Functions and Responsibilities: (Knowledge, skills, and behaviors required for this position.)

Apply advanced analytical technologies such as explainable AI/ML, large language models, physics‑informed ML, systems performance modeling, and multi‑sensor data fusion.
Collaborate with domain scientists, engineers, business analysts, data owners, and data stewards to define analytical questions, validate data, identify informative features, and interpret model outcomes.
Use high‑performance computing architectures and cloud platforms for data extraction, processing, modeling, and storage across structured and unstructured datasets.
Develop, test, and operationalize machine learning and artificial intelligence solutions tailored to business and engineering applications.
Produce analytical results, visualizations, and decision‑support materials across cloud, on‑premises, and edge computing environments.
Contribute to and help lead the planning and execution of INL’s enterprise advanced analytics roadmap.
Partner with cross‑functional teams to develop and manage technical programs and deliverables for a variety of internal and external customers.
Develop and maintain analysis notebooks, software modules, scripts, and user‑facing applications that support business and engineering workflows.
Work with software and database engineers to deploy robust, secure, and maintainable code to development, staging, and production environments.
Build custom analytical software such as 3D visualization utilities, parallel computing workflows, batch processing scripts, and API‑driven integrations.
Assess data quality issues, communicate findings to data providers, and design repeatable, traceable preprocessing pipelines.
Employ state‑of‑the‑art modeling, simulation, statistical inference, and uncertainty quantification methods to support INL’s mission related to safety, reliability, resilience, and operational performance of engineered systems.
Follow INL policies and standards related to cybersecurity, software development practices, and management of sensitive information.
Serve as a subject matter expert in modern data science techniques including data mining, regression, ML/AI methods, natural language processing, and large‑scale analytics.
Apply predictive, prescriptive, and probabilistic modeling methods to produce actionable insights and inform decision‑making.

Required

Education, Credentials, and Work Experience:

Level 4:
- Bachelor’s degree + 9 years relevant experience
- Master’s degree + 6 years relevant experience
- PhD + 4 years relevant experience
Level 5:
- Bachelor’s degree + 14 years relevant experience
- Master’s degree + 8 years relevant experience
- PhD + 6 years relevant experience
Relevant Experience fields include Data Science, Computer Science, Mathematics, Statistics, or related disciplines
Proficiency with tools and languages such as Python, R, SQL, Spark, SAS, Tableau, Excel, Jupyter Notebooks, and Azure Notebooks.
Strong data visualization expertise and experience defining KPIs.
Demonstrated ability to collaborate across diverse scientific and technical teams and facilitate cohesive decision‑making.
Ability to communicate technical concepts clearly to both business and technical audiences.
Experience mentoring or training staff in data analytics methods and workflows.
Ability to obtain and maintain a DOE Q clearance (U.S. Citizenship required).

The Ideal Candidate Will Possess

Experience with cloud platforms and cloud‑native analytics (AWS, Azure, GCP).
Experience with SciPy, PyTorch, TensorFlow, CUDA, notebook IDEs, NLP methods, graph databases, relational databases, and data storage architectures.
Experience with version control and repository management (e.g., Git).

Physical Requirements

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job-related equipment. The employee must occasionally lift and/or move up to 50 pounds without assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Job Information

Idaho National Laboratory is hiring a Program Manager to work on our Nuclear Nonproliferation Division and the "Material Minimization, Security and International Safeguards team. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off.

Level 4: The pay range for this position is $114,360 – $234,336 / Level 5: $114,360 - $234,336. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

Working Conditions

The work environment is an office environment which may include stairs. The noise level is generally moderate; however, may be exposed to loud noises on occasion.Position requires working more than 8 hours/day, irregular hours, and working alone.

The above statements are intended to describe the general nature and levels of work being performed by people assigned to this classification.They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

Security And Privacy Language

This position includes information security and privacy responsibilities as defined by NIST SP 800 53, OMB Circular A 130, and DOE Order 206.1A. Position must complete initial and annual role-specific training as required. The incumbent must sign and comply with all required access agreements prior to being granted access to organizational systems or data. Comply with all applicable information security and privacy policies and procedures by following established protocols, with an understanding that non-compliance may result in sanctions.

LevelDefiners

EX4 – Senior

Knowledge: Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas. Has wide-ranging experience. Uses professional concepts and company objectives to solve complex issues in creative and effective ways. Interfaces with and mentor junior staff.
Problem Solving: Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
Discretion and Latitude: Work is performed without appreciable direction. Determines methods and procedures on new assignments and may coordinate activities of other personnel (Lead). Exercises considerable latitude in determining objectives of assignment.
Impacts: Guides the successful completion of major programs and may function in a project leadership role. Erroneous decisions or recommendations would typically result in failure to achieve organizational objectives.
Liaison: Represents organization as prime contact on projects or work. Interacts with senior internal personnel on significant matters often requiring coordination between organizations. Networks with key contacts outside own area or expertise.
Education/Experience: Bachelor’s and 9 years. Master’s and 6 years. PhD and 4 years.

EX5 – Expert (Barriers to entry such as Charters and committees exist at this level):

Knowledge: Recognized organization ‐ wide expert. Has broad expertise or unique knowledge. Uses skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways. Interfaces with and mentor junior staff and some senior staff.
Problem Solving: Works on significant and unique issues and provides solutions which are highly innovative and ingenious and where analysis requires evaluation of intangibles.
Discretion and Latitude: Acts independently or works under consultative direction toward predetermined long-range goals and objectives. Assignments are often self-initiated. Determines and pursues courses of action necessary to obtain desired results. Work reviewed through consultation and/or agreement with others rather than by formal review of superior.
Impacts: Develops advanced ideas and guides their development. Erroneous decisions or recommendations would typically result in failure to achieve critical organizational objectives.
Liaison: May serve as organizational spokesperson on advanced projects and/or programs. Acts as advisor to management and customers. Creates formal networks involving coordination among groups.
Education/Experience: Bachelor’s and 14 years. Master’s and 8 years. PhD and 6 years.

About Us

Benefits and Relocation

Medical, Dental, Vision, and Flexible Spending Accounts
401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
Paid time off (personal leave)
Employee Education Program (tuition assistance for eligible positions)
Comprehensive Relocation Package
Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov .

Equal Employment Opportunity

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

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