Biostatistician - Pharmaceutical R&D

Placements24; Queenstown; Hybrid; NZD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Professional growth opportunities

Conference attendance support

Involvement in cutting-edge drug R&D

Job summary

Placements24 is seeking a highly analytical Biostatistician to support pharmaceutical R&D in the Queenstown area. You will design trial protocols, SAPs, and CRFs, and perform statistical analyses of clinical trial data using SAS or R.

This hybrid role combines remote analysis and on-site collaboration with clinical scientists and regulatory teams, with opportunities to contribute to CSRs, manuscripts, and regulatory submissions while staying current with evolving statistical methods.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in the pharmaceutical/biotech industry.
• Proficiency in SAS or R.
• Strong understanding of clinical trial design, statistical inference, and regulatory guidelines for drug development.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a hybrid environment.

Responsibilities

• Design clinical trial protocols, SAPs, and CRFs to meet study objectives.
• Perform statistical analysis of clinical trial data using SAS or R.
• Interpret statistical results and contribute to CSRs, manuscripts, and regulatory submissions.
• Collaborate with cross-functional teams to ensure appropriate statistical methodology.
• Stay updated on statistical methodologies and regulatory requirements in pharma.
• Develop and validate statistical programs and tools.

Skills

Biostatistics

SAS

R

Clinical trial design

Statistical inference

Independent work

Education

Master's or Ph.D. in Biostatistics or related field

Tools

SAS

R

Job description

About the Role

Our client is seeking a highly analytical and proficient Biostatistician to support their Pharmaceutical Research and Development initiatives in the Queenstown area. This role is critical for the design, analysis, and interpretation of data from clinical trials and pre-clinical studies, ensuring robust scientific evidence to support drug development. You will collaborate closely with clinical scientists, medical writers, and regulatory affairs to translate study objectives into statistically sound methodologies and to effectively communicate findings. This hybrid position allows for remote analysis and reporting, balanced with essential on-site team collaboration and strategic planning.

Key Responsibilities

• Design clinical trial protocols, statistical analysis plans (SAPs), and case report forms (CRFs) to meet study objectives.
• Perform statistical analysis of clinical trial data using SAS or R, ensuring accuracy and compliance with statistical principles.
• Interpret statistical results and contribute to the preparation of clinical study reports (CSRs), manuscripts, and regulatory submission documents.
• Collaborate with cross-functional teams to ensure the appropriate statistical methodology is applied throughout the drug development process.
• Stay abreast of the latest statistical methodologies and regulatory requirements in the pharmaceutical industry.
• Contribute to the development and validation of statistical programs and tools.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in the pharmaceutical or biotechnology industry.
• Proficiency in statistical programming languages such as SAS or R.
• Strong understanding of clinical trial design, statistical inference, and regulatory guidelines for drug development.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a hybrid work environment.

Benefits

• Competitive annual salary and comprehensive benefits package.
• Hybrid work model offering a blend of remote analysis and in-office collaboration.
• Opportunities for professional growth, advanced training, and attending scientific conferences.
• Involvement in cutting-edge drug development projects.
• Supportive and intellectually stimulating work environment.