Scientific > Biostatistician
Salary National Average
| Low | Medium | High |
|---|---|---|
| 71640.0000 | 89020.0000 | 117700.0000 |
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Short Description:
A Biostatistician is a professional who applies statistical methods and data analysis techniques to solve complex problems in the field of biology, particularly in health-related research. They play a vital role in designing experiments, analyzing data from clinical trials, and drawing meaningful conclusions that inform medical and healthcare decisions.
Duties / Responsibilities:
- Collaborate with researchers to design experiments and clinical studies, including sample size determination and randomization.
- Analyze data from experiments and observational studies to draw statistically valid conclusions.
- Develop statistical models to assess the effectiveness of medical treatments, interventions, or health policies.
- Interpret and communicate statistical findings to medical professionals, researchers, and regulatory authorities.
- Ensure data quality and integrity by identifying and addressing errors or inconsistencies.
- Use statistical software and programming languages (e.g., R, SAS) for data analysis.
- Write research reports, scientific papers, and grant proposals that detail statistical methods and results.
- Stay updated on the latest statistical techniques and their application in the field of biostatistics.
- Collaborate with interdisciplinary teams, including epidemiologists, clinicians, and laboratory scientists.
- Ensure research studies comply with ethical and regulatory guidelines, including informed consent and privacy protection.
Skills / Requirements / Qualifications
- Education: Master's or Ph.D. in biostatistics, statistics, or a related field.
- Programming: Proficiency in statistical software and programming languages such as R, SAS, or Python.
- Statistical Analysis: Strong mathematical and statistical analysis skills, with a focus on clinical or biomedical applications.
- Statistical Methodologies: Knowledge of clinical trial design, statistical methodologies, and data collection in the healthcare field.
- Communication: Excellent communication skills to convey complex statistical concepts to non-statistical audiences.
- Statistical Software: Familiarity with statistical software and tools commonly used in the healthcare and research sectors.
- Attentional to Detail: Strong attention to detail and the ability to handle and analyze large datasets.
- Bioethics: Familiarity with regulatory requirements for clinical research and knowledge of bioethics.
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