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We are looking for a skilled Biostatistician to join our team. The successful candidate will be responsible for designing biological experiments, especially in medicine and agriculture. They will collect, analyze and interpret the results using statistical techniques. The Biostatistician will also be responsible for providing statistical consultation for our research teams, developing new statistical methods and models to solve specific biological problems, and presenting findings to both scientific and non-scientific audiences. The ideal candidate will have a strong background in statistics, a keen interest in biology and medicine, and excellent problem-solving skills.


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  • Designing and conducting experiments.
  • Collecting and analyzing biological data.
  • Interpreting results using statistical techniques.
  • Providing statistical consultation for research teams.
  • Developing new statistical methods and models.
  • Presenting findings to scientific and non-scientific audiences.
  • Collaborating with scientists and researchers on project design and analysis.
  • Writing detailed reports and research papers.
  • Maintaining accurate and complete records of all findings.
  • Staying up-to-date with latest statistical and research methods.


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  • Master's degree in Biostatistics, Statistics or a related field.
  • Proven experience as a Biostatistician.
  • Strong knowledge of statistical research methods and data analysis.
  • Excellent problem-solving skills.
  • Good communication and presentation skills.
  • Proficiency in statistical programming languages such as R or SAS.
  • Ability to work in a multidisciplinary team.
  • Attention to detail and good organizational skills.
  • Knowledge of biology and medicine.
  • Ability to write detailed reports and research papers.

Potential interview questions

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  • What is your experience with statistical programming languages?
  • Can you describe a time when you had to solve a complex problem using statistical methods?
  • How do you ensure the accuracy of your data analysis?
  • Can you explain how you would present complex statistical information to a non-scientific audience?
  • What is your experience with designing experiments?