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San Anselmo

    Associate director, Quantitative Science - San Anselmo, United States - Penn Foster Inc

    Penn Foster Inc
    Penn Foster Inc San Anselmo, United States

    1 week ago

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    Description
    Who We Are


    From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors.

    Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases.

    Summary

    The Quantitative Science team at BioMarin promotes quantitative thinking and data-driven strategies for various aspects of the business, including research, early development, clinical trial monitoring, post-approval, and manufacturing.

    As the Associate Director of Quantitative Science (Research & Other Areas), you will assume the role of a Statistician/Data Scientist and play a pivotal role in supporting different functional areas of drug research, development, and manufacturing.

    This influential and self-sufficient position will make significant contributions to drug discovery, preclinical studies, biomarker identification and development, and nonclinical research.

    Your primary responsibility will be to ensure the appropriate design, analysis, interpretation, and communication of data.

    Additionally, you will actively engage with researchers to foster collaboration, promote the use of quantitative thinking, and encourage the utilization of artificial intelligence (AI) and machine learning (ML) techniques for problem-solving.


    The ideal candidate must demonstrate the following qualifications:
    Subject matter expertise in applying statistics and problem solving in related areas
    Proficiency in statistics, advanced data science methods and application, and programming
    Experience in developing fit-for-purpose statistical methodologies and software tools
    Excellent matrix team leadership and interpersonal skills

    Responsibilities
    Lead the statistical support for experimental design, analysis, interpretation, and reporting of studies in research, biomarker development, manufacturing, and other areas

    Estimate sample size and aid in study design including conducting simulations
    Develop analysis methods and analysis programs
    Write and/or review statistical analysis reports

    Develop statistical algorithms and specifications for applications that enable researchers to analyze repetitive experiments
    Conduct outreach to internal functions, establishing collaborations and identifying opportunities to apply statistics and data science for business impact and problem solving
    Explore and develop the use of AI and ML for business impact and problem solving
    Provide guidance and direction to junior staff in the team


    Education & Experience:
    M.S. in Biostatistics, Statistics, Data Science, or similar field required.
    Ph.
    D. in Biostatistics, Statistics, Data Science, or similar field preferred.
    Minimum Qualifications

    Years of experience in pharmaceutical and/or biotech industry: A minimum of 5 (PhD) or 7 (Master's) for associate director; A minimum of 2 (PhD) or 4 (Master's) for senior manager.


    Preferred Qualifications:

    Overall:
    Knowledge in drug discovery process and relevant statistical applications
    Scientific curiosity and ability to learn
    Proven ability to effectively collaborate with cross-functional teams
    Strong consultation, conversational, written communication, and interpersonal skills
    Adaptability and ability to thrive in a dynamic, diverse, and matrixed environment


    Statistics:


    Advanced knowledge of statistical methods for evaluating in vitro and in vivo studies, assay development and characterization, biomarker discovery, digital biomarkers, etc.

    Knowledge of advanced data science techniques such as artificial neural networks (ANN), natural language processing, and image analysis is a plus.

    Strong programming skills in SAS, R, Python, and other statistical software packages.

    Tool Development:
    Proficiency in developing specifications and designing analysis modules to automate analysis, visualization, and reporting of repetitive experiments

    Supervisory:
    Demonstrated ability to lead, motivate, and mentor both internal and contract staff.
    Effective review and evaluation skills for documents drafted by staff.


    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.


    In the U.S., the salary range for this position is $ 161,600 to $ 242,400 per year, which factors in various geographic regions.

    The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

    A discretionary bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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