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Job Analysis:
The Laboratory Technician/Developer role at NYU, as part of the NYU Action Lab, is fundamentally focused on supporting and advancing research in behavioral development across various stages of life. This position not only involves technical tasks, such as programming, software testing, and managing lab equipment, but also requires collaboration in designing and implementing innovative research projects. The key responsibilities highlight a significant emphasis on providing technical support for the Datavyu video coding tool and the Databrary video library, which demonstrates the importance of software proficiency in the role. Given the complex nature of the responsibilities, candidates will face challenges related to data management, user support, and the integration of various technological systems. Success will look like effectively contributing to high-quality behavioral research, mastering the technical components of lab operations, and developing projects that may lead to co-authorship in presentations and publications, signifying a collaborative and productive research environment.
Company Analysis:
Lensa, as a tech-focused recruitment platform leveraging machine learning to facilitate job searches and candidate matching, operates at the intersection of technology and human resources. The company positions itself as a pioneer in easing the recruitment process, aiming to provide tailored career opportunities for job seekers. As a vibrant startup atmosphere, it emphasizes innovation and efficiency, which would resonate in the Laboratory Technician/Developer role where technical expertise and a team-oriented approach are critical. This role is well-placed within the overarching goals of NYU’s research initiatives, as it supports data-driven exploration of human behavior. The company culture likely fosters a synergy between research rigor and technological advancement, emphasizing both individual contribution and collaborative success. These elements create an environment where a new hire can thrive through proactive engagement in problem-solving and contribution to meaningful research outputs.