Research Data Analyst, DIBI

About the Opportunity JOB SUMMARY The Defense Industrial Base Institute at Northeastern University (NU) – a rapidly growing defense focused institute that conducts cutting-edge applied R&D – is seeking a highly motivated, experienced and enthusiastic Jr. Data Researcher with expertise in applying methods/frameworks/systems that apply ML&AI. The Jr. Data Researcher is expected to work as part of a multi-disciplinary team (academia, industry and government) and contribute to the successful execution of federally funded projects/activities. Responsibilities include providing technical support to Principal investigators or co-principal investigators as a Jr. Data Researcher for a wide range of projects and activities involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The Jr. Data Researcher will work collaboratively with multi-disciplinary teams across the DIBI Higher Education Consortium, consisting of academic, government, industry partners, to recommend solutions or support institute leadership on prototypes for projects in application areas, including autonomous systems, robotics, and machine learning systems, among others. Specifically, the Jr. Data Researcher will help to create and modify on the back end the existing Navigator methodology; working with other data scientists and leadership across the institute. Successful candidates will be responsible team players and passionate about machine learning technologies, as well as possess a deep understanding of machine learning technology and experience in turning machine learning systems into practical, state-of-the-art systems that can be enhanced for projects or activities as per federal agency SOW.. A close working relationship with and support of thinking creatively on application of Navigator frame work for government and industry contracts will be required. The primary office for this position is located at NU’s Boston Campus Through NU, the institute offers an impressive benefits package, including multiple retirement plan options with extremely generous matching, as well as tuition waiver for classes and advanced degree programs. A full description of available benefits can be found on the NU website. MINIMUM QUALIFICATIONS Required Bachelor’s or Master’s degree in Data science, Computer Engineering, Computer Science, Applied Mathematics, or a closely related field. 2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI system development in research, prototype, or production environments. Preferred Master’s degree with a focus on ML/AI, data‑intensive systems, network science, optimization, or related areas. Experience contributing to government, defense, or security‑related R&D programs (internships, fellowships, or full‑time roles). Familiarity with simulation‑based models (e.g., physics‑based, network‑based, agent‑based, or stochastic simulations) for analysis, experimentation, or decision support. Desired Skills & Attributes Required Proficiency in Python and familiarity with modern ML/AI development workflows. Exposure to C++ and/or Java for performance‑critical components is a plus Experience contributing to the design, implementation, testing, or evaluation of ML/AI‑enabled or simulation‑driven software systems. Hands‑on experience with machine learning frameworks (e.g., PyTorch), including model training, evaluation, and experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL) Exposure to graph databases (e.g., Neo4j, Memgraph, or similar) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML workflows. Solid software engineering fundamentals, including version control, modular code design, testing, documentation, and reproducibility. Ability to rapidly prototype solutions and iterate toward more robust implementations with guidance from senior engineers. Self‑motivated team member able to work independently on well‑defined tasks while contributing to broader project objectives. U.S. Citizenship with the ability to obtain and maintain a security clearance. Desired: Exposure to Retrieval‑Augmented Generation (RAG), vector databases, embedding pipelines, or LLM‑enabled systems. Familiarity with network science or graph analytics concepts, including: Graph modeling and analysis using tools such as NetworkX Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or stochastic simulation methods Synthetic data generation or simulation‑in‑the‑loop workflows Exposure to geospatial data, spatiotemporal datasets, or PostgreSQL/PostGIS is a plus. Interest in UI or frontend development for technical or analyst‑facing tools (e.g., Svelte, React, or similar frameworks). Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines. Experience working with multidisciplinary teams across research, engineering, and applied R&D environments. Key Responsibilities: Support Research and Development efforts to scale Navigator Methodology applied to defense contracts (SIB),to include, development and implementation, prototype modeling & simulation, design, and experimentation. This supports the defense funding received that supports this role. (40%) Test and validation of soAI/ML Tools for sprints, tasks, projects and deliverables; to include scaling of projects by suggesting tools and systems that enhance efficiency and support humans in their work. (40%) Provide subject matter expertise across a diverse set of application areas and ad hoc requests that may come in from the sponsor. This may include attending meetings, visits, conferences and engagements with US Government, industry and academic partners. Research and support PI or CO-PIs with scoping project budgets as appropriate (Systems, tools) (10%) Special Projects as assigned: Working closely with Managing Director, Founding Director and other core leadership members, help to scope proposals and opportunities. Working closely with Managing Director and Sr. Director, Strategy and Communications to make recommendations on systems build out for internal operations (10%) Position Type Data Planning and Analysis Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $60,315.00 - $85,192.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.    Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.