Job Description:
Job Description: Biostatistician Officer – Science & Pharmaceuticals Job Industry, Brisbane
The Biostatistician Officer in Brisbane provides critical statistical support across various stages of biomedical research, clinical trials, and public health evaluations. This role is responsible for designing statistical approaches, managing data interpretation, and generating evidence that informs healthcare innovations and regulatory decisions. The officer works closely with multidisciplinary teams to ensure that studies are statistically sound, reproducible, and aligned with scientific goals.
Key responsibilities include contributing to the development of statistical analysis plans, supporting protocol design, and overseeing the integrity of data collection processes. The officer performs descriptive and inferential statistical analyses, applies appropriate models, and presents findings that help clarify research outcomes or product efficacy. This role also involves preparing and reviewing the statistical components of study documents, including clinical study reports and publications.
The officer maintains programming scripts using statistical software such as R, SAS, or Python, and ensures consistency, transparency, and efficiency in data analysis procedures. Regular collaboration with clinical, regulatory, and research operations teams ensures that statistical considerations are embedded in planning, execution, and reporting phases of projects.
Operating in Brisbane’s growing life sciences and pharmaceutical industry, the Biostatistician Officer plays a key role in generating the quantitative evidence needed for new therapies, diagnostics, and public health programs. The role may also involve participation in statistical training initiatives and the implementation of internal quality control measures for research projects.
The position is ideal for professionals who have a strong interest in combining mathematical precision with meaningful health outcomes. By ensuring statistical rigour, the Biostatistician Officer helps drive credible, data-based decisions that support innovation and improved patient care across Queensland’s health and research sectors.
Job Requirement:
Job Requirements: Biostatistician Officer – Science & Pharmaceuticals Job Industry, Brisbane
Candidates for the Biostatistician Officer role in Brisbane must demonstrate solid proficiency in biostatistical methodologies, including the application of regression models, survival analysis, and hypothesis testing techniques within a healthcare or clinical research context. A strong foundation in quantitative analysis is necessary to support study validity and reliability.
Competence in programming using statistical tools such as SAS, R, or STATA is essential. The officer should be able to write, debug, and validate statistical code, as well as ensure that analyses are documented and reproducible. Familiarity with data manipulation, cleaning procedures, and data quality assurance enhances performance in this role.
Excellent written and verbal communication skills are required to explain statistical results to both technical and non-technical stakeholders. The officer must be comfortable participating in cross-functional meetings, drafting statistical sections of study protocols or manuscripts, and contributing to regulatory documentation. The ability to convey complex ideas clearly is vital for collaborative problem-solving.
Time management and organisational skills are essential for handling multiple concurrent projects with varying deadlines. An understanding of good clinical practice (GCP) and ethical research principles ensures compliance in clinical data analysis. The officer should also be familiar with data protection standards and regulatory requirements relevant to pharmaceutical research.
A strong attention to detail, commitment to scientific accuracy, and ability to work both independently and within a team environment are key characteristics for success. The Biostatistician Officer should remain adaptable to evolving research demands and demonstrate continuous interest in refining statistical methods and tools to meet emerging analytical challenges.
