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Connectomics Jobs in Massachusetts (NOW HIRING)

Senior Staff Scientist

Boston, MA · On-site

$99K - $135K/yr

We are looking for a Senior Staff Scientist with a passion for connectomics and sequencing to lead a team project to map cortical circuits from the synaptic level in the mouse brain. The Senior Staff ...

Connectomics information

What is connectomics?

Connectomics is the scientific study of the brain's wiring diagram, mapping the complex network of neural connections within the nervous system. Researchers in this field use advanced imaging technologies and computational methods to create detailed maps, or 'connectomes,' that show how neurons and brain regions are interconnected. Understanding these connections helps scientists uncover how the brain processes information, supports behavior, and is affected by diseases. Connectomics is a multidisciplinary field, involving neuroscience, computer science, and engineering, and it plays a crucial role in advancing our knowledge of brain function and disorders.

What are the key skills and qualifications needed to thrive as a connectomics researcher?

To thrive as a Connectomics Researcher, you need a background in neuroscience, computational biology, and data analysis, often supported by an advanced degree in neuroscience or a related field. Familiarity with imaging technologies (such as MRI, electron microscopy), programming languages (like Python or MATLAB), and data visualization tools is typically required. Strong analytical thinking, attention to detail, and collaborative skills help drive progress in this multidisciplinary field. These competencies are essential for accurately mapping neural connections and advancing our understanding of brain structure and function.

What are some common challenges faced by professionals working in connectomics research, and how can they be addressed?

Professionals in connectomics often encounter challenges such as handling massive datasets, integrating multidisciplinary knowledge, and managing the complexity of high-resolution brain imaging. Collaborating closely with computational scientists, neuroscientists, and data engineers is crucial for overcoming technical and analytical hurdles. Staying current with advancements in imaging technologies and data analysis tools, as well as participating in collaborative research teams, can help address these challenges and foster growth in the role.

What is the difference between Connectomics vs Neuroimaging Technician?

AspectConnectomicsNeuroimaging Technician
Required CredentialsNeuroanatomy, neuroscience, advanced imaging techniquesRadiologic technology, certification in neuroimaging
Work EnvironmentResearch labs, neuroscience institutesHospitals, imaging centers
Industry UsageAcademic research, neuroscience projectsMedical diagnostics, patient imaging

Connectomics focuses on mapping neural connections in the brain using advanced imaging and data analysis, often within research settings. Neuroimaging Technicians operate imaging equipment like MRI or CT scanners to produce brain images for clinical or research purposes. While both roles involve brain imaging, connectomics emphasizes neural network mapping, whereas neuroimaging technicians focus on image acquisition and processing for diagnosis or research.

What job categories do people searching Connectomics jobs in Massachusetts look for?

The top searched job categories for Connectomics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Connectomics jobs?

Cities in Massachusetts with the most Connectomics job openings:

Infographic showing various Connectomics job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution.

Postdoctoral Associate, Dorkenwald Lab

MIT Human Resources

Cambridge, MA • On-site

Full-time

Re-posted yesterday


Job description

POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research -  Dorkenwald laboratory, to develop computational reconstruction, analysis, and modeling approaches for connectomics datasets. The lab develops computational approaches to reconstruct, analyze, and model large-scale connectomes, aiming to uncover organizational principles of neuronal circuits and how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions; Circuit analysis & modeling: Analysis of cortical connectomes, including comparative analyses across ages/regions; hypothesis-driven tests of discovered circuit rules; pair analyses with data-constrained models (e.g., RNNs, dynamical systems) and simulations; Morphology representation & multi-modal linking: Learn representations of detailed cell morphologies to link across datasets (within connectomics) and across modalities (e.g., EM ↔ Patch-seq) to build multi-modal connectomic resources that provide the basis for analyses that combine, e.g., connectivity with transcriptomic information; and publish in leading venues, maintain high-quality, reproducible code, collaborate across McGovern/BCS and external collaborators, and mentor students.


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Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014