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Job Analysis:
The Research Scientist - Neurology position at PandoLogic is fundamentally focused on advancing clinical and behavioral research, specifically in the realm of implementation science and its application to neurology. The candidate is expected to lead and collaborate on various research initiatives, which requires not just technical knowledge, but also an understanding of how research can tangibly impact health outcomes and quality of life. Success in this role hinges on the ability to effectively design and implement studies, manage cross-disciplinary collaborations, and translate complex data into actionable insights while securing funding through grant writing. Candidates will face challenges such as navigating institutional regulations, aligning diverse team goals, and ensuring rigorous adherence to ethical research practices, all while presenting their findings to high-level stakeholders. Performance will be measured by the ability to contribute to high-impact research outputs and foster collaborations that elevate the organization’s research standing within the healthcare community.
Company Analysis:
PandoLogic occupies a distinctive space at the intersection of recruitment marketing and artificial intelligence, particularly focused on enhancing recruitment efficiencies for some of the world's leading brands. As a subsidiary of Veritone, a foremost player in enterprise AI, PandoLogic's emphasis on data-driven solutions aligns closely with the role of Research Scientist, as both require a deep understanding of analytics and implementation science. The culture likely embodies innovation and agility, fostering an environment where new ideas are valued in a rapidly evolving industry. The company places importance on collaborative work, aligning well with the expectation of this role to engage with various stakeholders, from investigators to data scientists. Given its mission to transform recruiting through AI, strategic alignment for the Research Scientist would involve leveraging research outcomes that could inform better talent acquisition strategies and decision-making processes, emphasizing the significance of rigorous, data-led insights.