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Senior Broker Relationship Manager - Small Commercial
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…employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive…
Added 1 min ago
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Delivery Manager, Healthcare Payer
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- $130,000 to $153,000 USD / year
Lead end-to-end delivery of healthcare payer transformation initiatives, ensuring alignment with business objectives, program goals, and client expectations.
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Business Analyst
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- Up to $75,000 USD / year
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Added 6 mins ago
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- $85,000 to $157,800 USD / year
Lead system integration efforts between MES (preferably Siemens Opcenter), PLC, and enterprise systems
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Accounts Payable Manager
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- $55.28 to $62.5 USD / hour
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Lead Field Service Engineer – Automation
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MIT Lincoln Laboratory

Systems Analyst

Lexington, MA, United States

Technical Staff 5 Hiring Range: $140,000 - $187,000 Technical Staff 6 Hiring Range: $155,000 - $207,000

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Job details

Pay: Technical Staff 5 Hiring Range: $140,000 - $187,000 Technical Staff 6 Hiring Range: $155,000 - $207,000
Apply by: May 1, 2027
Experience: In lieu of a Ph.D., a Masters with at least 4 years of directly related experience will be considered.
Posting language: English
Posted: Nov 4, 2026

Original job description

The Homeland Sensors and Analytics Group designs, builds, and fields solutions that significantly enhance the tactical decision-making process of analysts and operators who secure the homeland. This includes security for critical infrastructure, land and maritime borders, transportation systems, and soft targets / crowded places. It also includes support for law enforcement, special operations, and intelligence analysts who track and disrupt transnational criminal and terrorist organizations. To do this, the group works on a combination of novel sensing technologies and data analytics techniques to provide better threat awareness to decision makers. The group designs systems that collect and process a wide range of data types - including radar, visible imagery and video, non-visible imagery, text, time-series data, and 3D point clouds - often applying advanced machine learning methods to convert raw data into actionable insights. The group places an emphasis on taking technology from the concept phase through deployment and transition to achieve operational impact.

Job Overview

MIT Lincoln Laboratory Technical Staff provide critical through expert multi-domain or new-domain innovative research supporting the Laboratory’s national security mission. They prototype state-of-the-art technology solutions and engage across the program lifecycle, leading projects or major/multiple technical workstreams in partnership with project, program and team/Group leaders. As a Technical Staff member, you will lead complex technical efforts requiring deep expertise, sound judgment, with the ability to successfully navigate technical complexity. Depending on the level, you will lead projects, major workstreams, complex programs, multi-program initiatives, or technical portfolios on extraordinary technology prototype efforts and creative new ideas and approaches that support critical mission needs. Depending on the level, you will translate broad Group strategy into clearly defined research or executional deliverables. Through integrating your deep technical expertise across disciplines, you consistently drive high-quality mission outcomes.

As a successful candidate, you will connect deep and diverse technical expertise with broader Laboratory objectives, perform independent research, develop creative approaches, and translate broad strategy into executable plans. You will work across or guide multidisciplinary teams through ambiguous trade-offs; helping develop and execute programs, creating briefings and reports, and often interfacing with sponsors. You effectively support sponsor, mission-partner, and Laboratory leadership’s needs through daily or weekly technical briefings, program documentation, proposals, and may conduct advanced capability road mapping and development. You will also guide and mentor Associate Technical Staff, Assistant Technical Staff, and other technical support personnel.

Additional Job Overview Details

The Homeland Sensors and Analytics group is seeking a candidate who will work on a broad range of problems related to homeland protection and national security missions. The core job is to apply technical subject matter expertise, clear analytical thinking skills, modeling and simulation, and data analysis to draw conclusions about the novel application of technologies. The conclusions may address performance assessment of existing technologies in new use cases, opportunities for the development of new technology solutions, or recommended systems and architectures for the operational deployment of new capabilities. The work will require an ability to understand a variety of sensing modalities (e.g., electro-optical, radar), platforms (e.g., airborne, maritime), and data exploitation techniques (e.g., AI/machine learning, tracking, data fusion) that will factor into the solutions being analyzed. Selected candidates will have an opportunity to work in a highly collaborative environment with experts across different technical fields, acquire new knowledge about mission-relevant problems and potential solutions, and produce analysis results that are impactful for national security.

Job Duties & Responsibilities

Lead projects, complex programs, major technical workstreams, multi-program initiatives, or technical portfolios involving multidisciplinary development, analysis, prototyping, integration, testing, evaluation, and technology transition.
Apply deep technical expertise and systems-level judgment to highly complex and ambiguous problems, evaluating alternatives, trade-offs, risks, stakeholder needs, and mission implications.
Translate broad or unclear objectives into actionable technical plans and influence program direction, architectures, systems, priorities, and roadmaps across teams, Groups, or mission areas.
Collaborate with multidisciplinary teams, sponsors, mission partners, and internal leaders to align priorities, resolve dependencies, and guide decisions and deliverables.
Assess and improve technical tools, processes, methods, documentation, execution practices, and organizational capability.
Serve as a technical resource and mentor by reviewing work, framing trade-offs and risks, and developing staff and emerging leaders.
Contribute substantially to papers, reports, presentations, proposals, grants, roadmaps, and other materials that advance mission outcomes and technical direction.

Minimum Qualifications

Candidates will be considered for the appropriate level based on their education, experience, demonstrated technical expertise and breadth, leadership responsibilities, and the scale and complexity of programs or technical efforts they have led.

Level 5 – Technical Staff

Bachelor’s degree in a STEM discipline or other relevant technical field and typically 6+ years of relevant experience; or Master’s degree and typically 4+ years of relevant experience; or PhD and typically 0+ years of relevant experience; or an equivalent combination of education and experience.
Diverse technical expertise with demonstrated ability to adapt that expertise to unfamiliar or emerging disciplines, systems, mission areas, or methods.
Established education, skills, and experience demonstrating the ability to apply significant technical judgment to broad challenges requiring integration across related systems or methods.
Demonstrated ability to lead projects or major workstreams and deliver complex technical outcomes.
Experience evaluating trade-offs, recommending paths forward, and adapting technical approaches to evolving project needs.
Demonstrated mentorship, collaboration, and ability to communicate recommendations, risks, and technical findings to varied audiences.
Experience contributing to technical reports, papers, presentations, proposals, or other formal technical deliverables.

Level 6 – Technical Staff

Bachelor’s degree in a STEM discipline or other relevant technical field and typically 8+ years of relevant experience; or Master’s degree and typically 6+ years of relevant experience; or PhD and typically 2+ years of relevant experience; or an equivalent combination of education and experience.
Deep and diverse technical expertise with demonstrated ability to integrate knowledge across domains and establish direction in evolving systems or mission areas.
Established education, skills, and experience demonstrating the ability to incorporate technical judgment, program context, and stakeholder input to solve broad technical challenges.
Proven experience leading complex programs, significant program elements, or multi-team technical efforts.
Demonstrated ability to evaluate alternatives, manage technical ambiguity, and influence decisions across teams or stakeholder groups.
Strong record of mentorship, collaboration, technical communication, and contribution to team or Group capability development.
Experience contributing to proposals, publications, technical reports, presentations, or other materials that shape program direction or technical initiatives.

Additional Minimum Qualifications

Ph.D. in computer science, mathematics, statistics, electrical engineering, information science, applied mathematics, data science, or an equivalent field. In lieu of a Ph.D., a Masters with at least 4 years of directly related experience will be considered.
Ability to quickly learn new technical areas and apply that knowledge effectively to solve challenging mission problems.
Knowledge to develop, implement, test, and evaluate novel algorithms and concepts.
The candidate must work both in a team-oriented environment and independently.
The candidate must have excellent written and verbal communication skills with the ability to clearly share technical concepts with a wide spectrum of audiences.
Proficient at high-level prototyping software languages (e.g., Python)

Experience in one of more of the following areas is desired

AI/ machine learning
RF system design and/or testing
Signal processing
Communication systems
Statistical models

Technical Staff 5 Hiring Range: $140,000 - $187,000 Technical Staff 6 Hiring Range: $155,000 - $207,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including - but not limited to - the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

Comprehensive health, dental, and vision plans
MIT-funded pension
Matching 401K
Paid leave (including vacation, sick, parental, military, etc.)
Tuition reimbursement and continuing education programs
Mentorship programs
A range of work-life balance options
... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 43573

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More about this job

Skills

Decision making
Research
Leadership
Documentation
Technical support
Machine learning
Blueprints
Develop staff
Presentation skills
Collaboration
Communication skills
Computer science
Statistics
Electrical engineering
Python
Signal processing

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