Biostatistician

Luminary Group
London
1 year ago
Applications closed

Luminary Group is currently seeking a skilled and dedicated Biostatistician to join our client. As a Biostatistician, you will play a crucial role in providing statistical support and expertise for research studies and clinical trials. You will collaborate with cross-functional teams to analyze, interpret, and report study data, contributing to the advancement of healthcare and evidence-based medicine.

Responsibilities:

  • Design and implement statistical methodologies for research studies and clinical trials.
  • Perform data analysis using appropriate statistical techniques and software.
  • Work closely with researchers and clinicians to develop study protocols and statistical analysis plans.
  • Ensure the quality, accuracy, and validity of statistical analyses and results.
  • Provide statistical input in the interpretation and communication of study findings.
  • Contribute to the development and review of research proposals, manuscripts, and presentations.
  • Stay up-to-date with the latest advancements in biostatistical methods and techniques.
  • Collaborate with cross-functional teams to support the integration of statistical analyses within the research process.
  • Contribute to the development and maintenance of statistical software tools and databases.
  • Adhere to regulatory guidelines and industry standards in relation to biostatistics.

Requirements

  • Master's or PhD in biostatistics, statistics, or a related field.
  • Minimum of 3 years of experience as a biostatistician in the healthcare or pharmaceutical industry.
  • Proficiency in statistical software such as SAS, R, or Python.
  • Strong knowledge of statistical methodologies and techniques, including linear regression, survival analysis, and Bayesian methods.
  • Experience with data analysis and interpretation in the context of clinical research or healthcare.
  • Familiarity with research study design and statistical analysis plans.
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to effectively communicate statistical concepts and findings to both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively in a team setting.

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