Biostatistician - Pharmaceutical R&D

Placements24

Queenstown

Hybrid

NZD 120,000 - 160,000

Full time

39 hours ago
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Benefits offered by this job

Hybrid work model
Professional development opportunities
Conference attendance support

Job summary

Placements24 in Queenstown is seeking a highly analytical Biostatistician to support pharmaceutical R&D. You will design, analyze, and interpret data from clinical trials and pre-clinical studies, translating objectives into statistically sound methodologies and communicating findings to stakeholders.

This hybrid role allows remote analysis and reporting with essential on-site collaboration and strategic planning for regulatory submissions and scientific publications.

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 and strong understanding of trial design and regulatory guidelines.

Responsibilities

  • Design clinical trial protocols, SAPs, and CRFs to meet study objectives.
  • Perform statistical analysis of clinical trial data using SAS or R with accuracy.
  • Interpret results and contribute to CSRs, manuscripts, and regulatory submissions.
  • Collaborate with cross-functional teams to apply appropriate statistical methods.
  • Stay updated on statistical methodologies and regulatory requirements.

Skills

Biostatistics knowledge
Statistical analysis
Data interpretation
Communication skills

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.

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