Biostatistician

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.