Offer summary

Qualifications:

Master's or PhD in biostatistics, statistics, or related field, Minimum 3 years experience in healthcare or pharmaceutical industry, Proficiency in SAS, R, or Python.

Key responsabilities:

Design statistical methodologies for studies and trials

Analyze data and collaborate with cross-functional teams

Ensure quality and validity of statistical analyses

Contribute to research proposals and study communication

Job description

Luminary Group is currently seeking a skilled and dedicated Principal 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.

Required profile