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Senior Research Scientist

1 month ago


Pittsburgh PA USA, United States University of Pittsburgh Full time
Job Summary

The University of Pittsburgh is seeking a Senior Research Histologist/Engineer to join our team in the Department of Neurobiology. This is a hybrid office-based/work-from-home position within the United States that will involve producing high-quality neurohistological samples from non-human primate brains, such as cryosectioning, immunostaining, and high-resolution imaging. The role also involves developing and managing software for processing and analyzing research data, including creating deep learning-based programs for automatically detecting neurons and brain regions in microscopic images.

This is a hybrid office-based/work-from-home position within the United States. The employee can work remotely from within the United States, but must be able to work in the Pittsburgh office three (3) days per week.

The ideal candidate will have a master's degree in neurobiology, engineering, or a related field, plus two (2) years of experience in a related position. The candidate must have experience with handling non-human primates, conducting tracer injection experiments, perfusion fixation, and cryo-embedding brain samples in non-human primates, as well as performing whole-brain serial sectioning using the Tape Transfer method. Additionally, the candidate must have experience with various histological staining techniques, including immunostaining, and developing software for research data analysis using object-oriented programming in major languages such as Python, C++, and MATLAB. The candidate must also have experience with database design and management, processing and analyzing medical images, including high-resolution whole slide microscopy images (approx. 100K x 100K) and MRI images, and developing web applications for lab members to manage and access research data via a web browser. Finally, the candidate must have experience with building basic electronic devices for experiments based on fundamental electrical and electronic engineering principles.

This is a hybrid office-based/work-from-home position within the United States. The employee can work remotely from within the United States, but must be able to work in the Pittsburgh office three (3) days per week.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Key Responsibilities:

Produce high-quality neurohistological samples from non-human primate brains

Develop and manage software for processing and analyzing research data

Conduct tracer injection experiments, perfusion fixation, and cryo-embedding brain samples in non-human primates

Perform whole-brain serial sectioning using the Tape Transfer method

Develop software for research data analysis using object-oriented programming in major languages such as Python, C++, and MATLAB

Design and manage databases for research data

Process and analyze medical images, including high-resolution whole slide microscopy images (approx. 100K x 100K) and MRI images

Develop web applications for lab members to manage and access research data via a web browser

Build basic electronic devices for experiments based on fundamental electrical and electronic engineering principles

Requirements:

Master's degree in neurobiology, engineering, or a related field

Two (2) years of experience in a related position

Experience with handling non-human primates, conducting tracer injection experiments, perfusion fixation, and cryo-embedding brain samples in non-human primates

Experience with various histological staining techniques, including immunostaining

Experience with developing software for research data analysis using object-oriented programming in major languages such as Python, C++, and MATLAB

Experience with database design and management

Experience with processing and analyzing medical images, including high-resolution whole slide microscopy images (approx. 100K x 100K) and MRI images

Experience with developing web applications for lab members to manage and access research data via a web browser

Experience with building basic electronic devices for experiments based on fundamental electrical and electronic engineering principles