Early Career Computer Science - Developer, Hybrid
Accreditation Council for Graduate Medical Education, Albuquerque, NM, United States
Job Overview
Developer of data science and AI applications for national security challenges. Responsible for rapid prototyping, developing novel analytic methods, and collaborating with users on real‑world problems.
Responsibilities
Develop a new technique to discover illicit transactions in a sea of ordinary ones.
Learn about a new adversary tactic and brainstorm means to prevent, detect, or prosecute it.
Review and conduct data science experiments on national security data to assess a new application of an algorithm.
Evaluate a tool or technique for the sponsor.
Code up a new tool, demo it to sponsors, and support them as they prototype it.
Provide direct analytics support to a user conducting investigations.
Help incorporate AI‑enabled coding pipelines and ensure code quality and correctness.
Help use AI to accelerate our analytics development processes.
Analyze current systems and architectures and propose innovative solutions for the future.
Develop and provide user training for a new tool.
Work with commercial and other contractors to harmonize our tools and engineering with theirs.
Required Qualifications
Boston or equivalent combination of directly relevant education and engineering or scientific experience that demonstrates knowledge, skills, and ability to perform independent research and development.
Ability to obtain and maintain DOE Q‑level security clearance.
Desired Qualifications
Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement.
Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).
Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.
Experience with data science research.
Leadership and aptitude.
Using and implementing AI.
AI‑assisted coding or data science.
Coding as part of a team on a codebase in use.
Architecting code bases and leading coding teams and tasks.
Building and deploying user‑facing analytic tools.
Developing cloud‑native and containerized applications.
Working with real‑world datasets—ideally large and complex—including cleaning, validation, exploratory analysis, and feature engineering.
Familiarity with collaborative software practices (e.g., git, basic testing, documentation).
Ability to learn new tools quickly and adapt to changing priorities.
Strong problem‑solving skills and the ability to work in a collaborative, interdisciplinary environment.
Knowledge of a broad array of AI and data science techniques (e.g., deep learning, image analysis, graphs, text analytics, statistical methods, tensors, Markov models, supervised and unsupervised machine learning techniques).
Active DOE Q‑level security clearance or equivalent.
Salary Range
$102,400 - $199,700.
Benefits
Generous vacation.
Strong medical and other benefits.
Competitive 401(k).
Learning opportunities.
Relocation assistance.
Flexible work arrangements such as 9/80, 4/10, part‑time, and telecommuting.
Amenities aimed at creating a solid work/life balance.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class under state or federal law.
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Developer of data science and AI applications for national security challenges. Responsible for rapid prototyping, developing novel analytic methods, and collaborating with users on real‑world problems.
Responsibilities
Develop a new technique to discover illicit transactions in a sea of ordinary ones.
Learn about a new adversary tactic and brainstorm means to prevent, detect, or prosecute it.
Review and conduct data science experiments on national security data to assess a new application of an algorithm.
Evaluate a tool or technique for the sponsor.
Code up a new tool, demo it to sponsors, and support them as they prototype it.
Provide direct analytics support to a user conducting investigations.
Help incorporate AI‑enabled coding pipelines and ensure code quality and correctness.
Help use AI to accelerate our analytics development processes.
Analyze current systems and architectures and propose innovative solutions for the future.
Develop and provide user training for a new tool.
Work with commercial and other contractors to harmonize our tools and engineering with theirs.
Required Qualifications
Boston or equivalent combination of directly relevant education and engineering or scientific experience that demonstrates knowledge, skills, and ability to perform independent research and development.
Ability to obtain and maintain DOE Q‑level security clearance.
Desired Qualifications
Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement.
Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).
Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.
Experience with data science research.
Leadership and aptitude.
Using and implementing AI.
AI‑assisted coding or data science.
Coding as part of a team on a codebase in use.
Architecting code bases and leading coding teams and tasks.
Building and deploying user‑facing analytic tools.
Developing cloud‑native and containerized applications.
Working with real‑world datasets—ideally large and complex—including cleaning, validation, exploratory analysis, and feature engineering.
Familiarity with collaborative software practices (e.g., git, basic testing, documentation).
Ability to learn new tools quickly and adapt to changing priorities.
Strong problem‑solving skills and the ability to work in a collaborative, interdisciplinary environment.
Knowledge of a broad array of AI and data science techniques (e.g., deep learning, image analysis, graphs, text analytics, statistical methods, tensors, Markov models, supervised and unsupervised machine learning techniques).
Active DOE Q‑level security clearance or equivalent.
Salary Range
$102,400 - $199,700.
Benefits
Generous vacation.
Strong medical and other benefits.
Competitive 401(k).
Learning opportunities.
Relocation assistance.
Flexible work arrangements such as 9/80, 4/10, part‑time, and telecommuting.
Amenities aimed at creating a solid work/life balance.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class under state or federal law.
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