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Develop and apply biostatistical theory and methods to the study of life sciences.

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    Work Activities

    Work Activities

    • Draw conclusions or make predictions, based on data summaries or statistical analyses.
    • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
    • Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
    • Calculate sample size requirements for clinical studies.
    • Design research studies in collaboration with physicians, life scientists, or other professionals.
    • Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
    • Prepare tables and graphs to present clinical data or results.
    • Write program code to analyze data with statistical analysis software.
    • Review clinical or other medical research protocols and recommend appropriate statistical analyses.
    • Develop or implement data analysis algorithms.
    • Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
    • Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
    • Plan or direct research studies related to life sciences.
    • Prepare articles for publication or presentation at professional conferences.
    • Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
    • Design or maintain databases of biological data.
    • Apply research or simulation results to extend biological theory or recommend new research projects.
    • Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.
    • Assign work to biostatistical assistants or programmers.
    • Analyze archival data, such as birth, death, and disease records.
    • Design surveys to assess health issues.
    • Teach graduate or continuing education courses or seminars in biostatistics.


    • Mathematics

      Using mathematics to solve problems.

    • Active Learning

      Understanding the implications of new information for both current and future problem-solving and decision-making.

    • Complex Problem Solving

      Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.


    Applied Math
    Workplace Documents
    Graphic Literacy


    • Inductive Reasoning

      The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

    • Mathematical Reasoning

      The ability to choose the right mathematical methods or formulas to solve a problem.

    • Deductive Reasoning

      The ability to apply general rules to specific problems to produce answers that make sense.


    • Mathematics

      Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.

    • English Language

      Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.

    • Computers and Electronics

      Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.

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    Ohio Employment Trends

    • Currently Employed 900
    • Yearly Projected Openings 100

    Typical Education


    Investigative: People interested in this work like activities that include ideas, thinking, and figuring things out.They do well at jobs that need:
    • Analytical Thinking
    • Integrity
    • Attention to Detail
    • Cooperation
    • Independence
    • Dependability


    • Personal computers
    • Notebook computers
    • Mainframe computers
    • Laser printers
    • Desktop computers


    • Operating system software
    • Object or component oriented development software
    • Development environment software
    • Data base user interface and query software
    • Analytical or scientific software


    • Bright Outlook occupations will grow rapidly in the next few years, have a large number of openings, or are new and emerging careers.
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