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    Data Management Specialist - Palo Alto, United States - Stanford Blood Center

    Stanford Blood Center
    Stanford Blood Center Palo Alto, United States

    3 weeks ago

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    Description
    The Quantitative Sciences Unit

    (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University. The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists. To optimally achieve this mission, the QSU members become fully integrated into individual research teams.

    The QSU is seeking a highly motivated, hard-working and professional Data Management Specialist to join their team.

    The successful candidate will join a vibrant team of academic data scientists working on a wide variety of collaborative projects in medicine.

    Under minimal supervision, the incumbent will perform the most complex technical work associated with a wide variety of analytical data and produce routine, single data sources' information requests.

    The incumbent will work closely with senior statisticians to interrogate databases for the purpose of creating analytic files, performing quality control and data cleaning, managing data and doing data analysis under supervision of a statistician.

    This position holds excellent career development opportunities.


    Duties include:


    Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.

    Distribute and disseminate reports to applicable agencies, researchers, management and other internal end-users
    Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements
    Design and customize reports based upon data in the database
    Create non-routine databases and their related information summary; develop algorithms and statistical model; and perform statistical analyses appropriate to complex data and reporting requirements
    Serve as a resource for non-routine inquiries such as requests for statistics or surveys
    Lead the implementation of data standards and common data elements for data collection
    Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics
    May test prototype software and participate in approval and release process for new software
    Create data dictionaries and libraries that document how data are housed
    Work directly with investigators and independently decide which analytical methods will be applied
    Apply statistical models to the data to summarize data according to analysis plans
    *- Other duties may also be assigned, not all unique aspects of this job are covered by this job posting. A full job description will be shared during the interview process.


    DESIRED QUALIFICATIONS:
    Advanced degree/Master's Degree in Applied Math, Biostatistics, Statistics or related field
    At least two years of experience collaborating with biostatisticians and clinical investigators on studies
    Experience with programming languages such as SQL or Python for database manipulation
    Familiarity with statistical packages like SAS and R
    Experience collaborating under minimal supervision in a team environment on data-related issues for clinical studies
    Ability to communicate technical information to all audiences


    EDUCATION & EXPERIENCE (REQUIRED):
    Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
    Experience in a quantitative discipline such as economics, finance, statistics or engineering.


    KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
    In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software
    Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases
    Basic statistical ability
    Strong listening, verbal and written communication skills
    Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail
    Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question
    Ability to work with data of varying levels of quality and validity
    Demonstrated ability to produce data in a clear and understandable manner meeting user requirements
    Ability to work effectively with multiple internal and external customers
    Ability to take a leadership role on projects and with users/clients


    PHYSICAL REQUIREMENTS:
    Constantly perform desk-based computer tasks
    Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less
    Occasionally write by hand, twist, bend, stoop and squa
    Rarely stand, walk, reach or work above shoulders and use a telephone
    * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


    WORKING CONDITIONS:
    May work extended hours during peak business cycles.


    WORK STANDARDS:

    Interpersonal Skills:
    Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations

    Promote Culture of Safety:
    Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned
    Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,

    .

    The expected pay range for this position is $87,000 to $126,000 per annum.

    Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.

    The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.


    Why Stanford is for You:
    Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and

    unique perks


    empower you with:
    Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
    A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
    A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
    Discovery and fun. Stroll through historic sculptures, trails, and museums.
    Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
    *- Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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