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Technical Manager (Lab) Jobs
Company | Princeton University |
Address | , Princeton, 08542 |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-09-14 |
Posted at | 8 months ago |
Overview:
The Technical Manager will work closely with our contributing labs to develop and maintain experimental equipment and procedures across the collaboration, including virtual reality behavioral setups for small animal experiments.
The Technical Manager will be responsible for (1) building and maintaining experimental setups for behavioral testing and neural recordings and perturbations; (2) establishing procedures for standardizing, monitoring and troubleshooting experimental setups, including animal subjects, surgical procedures, apparatus, etc; (3) managing technicians who train animals on the experimental set-ups; and (4) coordinating with the data management team to ensure reliable and efficient sharing and pooling of data from the experimental set-ups across different labs.
The term of this appointment is one year, with the possibility of renewal based upon satisfactory performance and funding. Responsibilities:
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTSStandard Weekly Hours: 36.25 Eligible for Overtime: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): No Physical Capacity Exam Required: No Valid Driver’s License Required: No : #LI-JJ1
We are looking for a Technical Manager for BRAIN CoGS at Princeton University, to contribute to cutting-edge Neuroscience research and push the frontier of large-scale data science. BRAIN CoGS is a lively community spanning half a dozen leading laboratories that collaborate to study how brain circuits generate working memory and decision-making. This project is supported by the National Institutes of Health’s Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Experimental methods include two-photon, three-photon, and light-sheet microscopy; optogenetics; deep-brain imaging and many-electrode recording;
transsynaptic circuit tracing; GFP-based probes of brain circuit activity; and machine learning.
transsynaptic circuit tracing; GFP-based probes of brain circuit activity; and machine learning.
The Technical Manager will work closely with our contributing labs to develop and maintain experimental equipment and procedures across the collaboration, including virtual reality behavioral setups for small animal experiments.
The Technical Manager will be responsible for (1) building and maintaining experimental setups for behavioral testing and neural recordings and perturbations; (2) establishing procedures for standardizing, monitoring and troubleshooting experimental setups, including animal subjects, surgical procedures, apparatus, etc; (3) managing technicians who train animals on the experimental set-ups; and (4) coordinating with the data management team to ensure reliable and efficient sharing and pooling of data from the experimental set-ups across different labs.
The term of this appointment is one year, with the possibility of renewal based upon satisfactory performance and funding.
Responsibilites include:
- Establishing procedures for standardizing, monitoring and troubleshooting experimental setups, including animal subjects, surgical procedures, apparatus, etc.
- Building and maintaining experimental setups for behavioral testing and neural recordings and perturbations.
- Coordinating with the data management team to ensure reliable and efficient sharing and pooling of data from the experimental set-ups across different labs.
- Managing technicians who train animals on the experimental set-ups
Essential Qualifications:
- Strong technical and experimental skills
- The ideal candidate would have a masters degree plus 3 years experience or PhD in science, engineering, or computing-related field
- Strong organizational and interpersonal skills are required
Preferred Qualifications:
- Prior experience in laboratory or project management is desirable
This position is subject to the University's background check policy
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS
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