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Machine Learning Neuroscience Jobs in Massachusetts

Data Analyst

Charlestown, MA · On-site

$53K - $75K/yr

... neuroscience research with healthy and neuropsychiatric populations, using device-based ... Implement and support statistical analyses, machine learning models, and processing pipelines ...

... machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities ... field (e.g., Neuroscience, Education, Sociology), with an interest in studying adolescent ...

... machine learning (ML), and natural language processing (NLP) methodologies to promote data-driven ... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ...

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Machine Learning Neuroscience information

What are the key skills and qualifications needed to thrive in the machine learning neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

What is a machine learning neuroscience?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the typical daily tasks and team dynamics for someone working in a machine learning neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field often use tools like Python, TensorFlow, and neural imaging data to advance understanding of the brain. It is a growing area that combines expertise in both neuroscience and machine learning algorithms.
What job categories do people searching Machine Learning Neuroscience jobs in Massachusetts look for? The top searched job categories for Machine Learning Neuroscience jobs in Massachusetts are:
Infographic showing various Machine Learning Neuroscience job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Software Architect with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments. Job Description Our group is seeking highly motivated individuals to support software design, implementation, test, and deployment activities within a rapid prototyping environment. The candidate will work across different technical areas in a dynamic team-oriented development environment and will likely support multiple projects at one time. The position requires the ability to lead a team of software developers to design, implement, and test prototype software systems. The position requires the development and integration of sensor data and algorithms based on statistical modelling and machine learning techniques. The candidate should be well-organized, self-driven, creative, detail-oriented, and have strong verbal and written communication and teaming skills. Mentoring more junior staff members is expected. Documentation and presentation of work is required throughout the life-cycle of development efforts and may include the generation of flowcharts, diagrams, slides, and code documentation. Candidates are expected to work onsite in Lexington, MA for at least 60% of their working time. Requirements PhD or M.S. with 3 years of experience in computer science, computer engineering, or a related technical discipline * Experience in software architecture development * Experience in full-stack software development * Experience designing modular, extensible, and scalable microservice based architectures * Experience with data pipelines, and APIs * Experience in evaluating and selecting appropriate technologies and frameworks * Proficiency in Python and Java * Experience developing and deploying cloud-based software (AWS, Azure, etc.) * Development and utilization of continuous integration and deployment (CI/CD) architectures and DevSecOps best practices * Experience leading and participating in Agile development methodologies (Scrum, Kanban) * Experience creating, querying, and optimizing databases * Basic knowledge of the Windows and Linux operating systems * Excellent written and oral communications skills in technical and non-technical environments Desired Skills: * Working knowledge of Go, C#, JavaScript, C/C++, or Rust * Working knowledge of basic scripting languages (PowerShell, Bash, Perl, etc.) * Experience using generative AI to accelerate software development * Requirements development and user requirements elicitation experience * Program management experience * Experience with cloud-native services * Familiarity with basic machine learning processing and optimization techniques Recent Graduate Hiring Range: $145,200 - $170,000 Experienced Hiring Range: $145,200 - $220,000 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: 42960