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Pfizer Internships – Senior Manager Acoustic Data Scientist In Philadelphia

    Website Pfizer

    Job Description:

    The senior manager, acoustic data scientist role is a USA/MA-based role. She/he is responsible for designing and building ML-based analytical platforms for one or more projects that will identify and develop scientific and technological solutions for validating and qualifying novel digital endpoints to measure the impact of therapeutic interventions across the enterprise.

    Job Responsibilities:

    • Responsible for creating and evaluating the data needs of the assigned projects and assures the integrity of the data.
    • Integrate and summarize large-scale data and information across multiple scientific, translational, and clinical domains.
    • Exhibits operational excellence as a team member in a matrixed organization.
    • Demonstrated ability to be an effective communicator; effectively communicates complex analytical concepts to team members with varied backgrounds, including experts and regulatory authorities.
    • Supports algorithm specification documents as well as regulatory submissions to ensure work meets needs of the group.
    • Coordinates with client research or development teams to ensure alignment on the project objectives and deliverables.
    • Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend decisions for disease area teams.
    • Contributes to the Project Leader and Data Sciences knowledge through sharing best-practices and learnings as required.
    • Serves as a team consultant on data collection strategies in cellular devices.
    • The ideal individual will have scientific expertise to provide analysis of acoustic data and digital measures of human activity.

    Job Requirements/Qualifications:

    • Demonstrated leadership supporting team of internal or external data scientists in the selection of voice metrics.
    • Ability to develop requirements for digital solutions and/or device component selection.
    • The ideal candidate will have MS or PhD in data science or engineering with additional 1-3 plus years in acoustic and voice analysis.
    • Deep knowledge developing code extraction solutions for voice metrics using signal processing techniques.
    • Experience in design & development of user facing software solutions (web-based or app-based) for the collection of speech data and patient data.

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