Harvard Medical School

Boston, MA

ID: 7076715
Posted: April 2, 2021
Application Deadline: Open Until Filled

Job Description

Job-Specific Responsibilities

Our group in the Department of Neurobiology at Harvard Medical School is looking for an innovative and enthusiastic team member to join a multidisciplinary research laboratory. We are interested in understanding how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek an engineer with hardware and software skills. They should be capable of developing and working with custom instrumentation for high- throughput microscopy and analyzing large data.

Main projects include:
Development and support of automated imaging platforms for serial section TEM;
Development and support of a large data handling infrastructure;
Development and validation of high-throughput multi-photon microscopes for volumetric in vivo imaging;
Development and application of machine learning approaches at scale for image segmentation and analyses.
Success will require a close working collaboration with biologists and the ability to independently develop solutions to address biological questions. Building and optimizing novel hardware and software pipelines will play a vital role in helping us achieve our biological aims.

Typical duties of the Functional Connectomics Engineer include:
Developing and maintaining hardware for electron and light microscopy;
Developing software to generate, process, and analyze large-scale image datasets;
Computational systems oversight and miscellaneous programming;
Overseeing production of a tape-based specimen collection substrate;
Communicating with vendors and coordinating jobs with internal and external service providers and collaborators;
Documenting projects and communicating project progress.

We offer the opportunity to:
Apply your skills toward understanding the brain in a vibrant academic environment;
Do cutting edge science with a supportive and collaborative team;
Invent techniques and technology with potential for patents and commercialization;
Author academic papers.

Basic Qualifications

Bachelor's Degree in engineering, computer science, life or physical sciences or a related discipline. 2 years of related experience in research or related environment. Advanced degree may count towards experience.

Additional Qualifications and Skills

An advanced degree in science or engineering
Highly proficient in Python - programming experience in other languages (e.g., C, Java, MATLAB)
Experience with machine learning, deep learning, and convolutional neural networks - experience with nano-positioning systems
Experience with electron microscopy and electron-optics
Experience with non-linear (multi-photon) optics and laser scanning microscopy
Work experience in biomedical research and/or an academic science environment
Demonstrated experience teaching or training in an informal setting.
The successful candidate will be self-motivated, creative, and enjoy working in a dynamic and intellectually stimulating environment. S/he will be skilled at translating research problems into well-defined technical specifications and then designing, building, and help support user-friendly software solutions and instrumentation; s/he will have excellent interpersonal skills; enthusiasm for collaborating closely with biologists; software, engineering, and data science skills; and the ability to write clearly for a broad audience. Demonstrated experience in software and instrumentation development. Proficiency in at least one programming language including, but not limited to, Python or MATLAB.

Additional Information

This is a 12-month term position from date of hire, with possibility of extension, contingent upon work performance and continued funding to support the position.

Harvard Medical School strives to cultivate an environment that promotes inclusiveness and collaboration among students, faculty and staff and to create new avenues for discussion that will advance our shared mission to improve the health of people throughout the world.


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