Biostatistics Consultant

About the role

The consultant will support statistical deliverables within the oncology program, collaborating with cross-functional team members to ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready.

Responsibilities

• Review and finalize analysis datasets
• Support data quality and consistency checks
• Conduct or validate statistical analyses
• Generate tables, figures, and listings
• Interpret statistical results and contribute to statistical content for publications
• Address publication-related statistical questions
• Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
• Provide technical guidance on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications
• Perform quality checks on statistical programming efforts as needed

Skills

• Strong written and verbal communication skills, with the ability to present complex statistical concepts to both technical and non-technical audiences
• Proven ability to work effectively as part of a cross-functional team
• Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
• In-depth knowledge of statistical methods and their application in oncology clinical trials
• Proficient in statistical programming languages and software, such as SAS and R
• Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specifications
• Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs

Qualifications

• PhD or MS in statistics or biostatistics
• Ideal experience: 3 years (for PhD) or 5 years (for MS) in clinical trials
• Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications in clinical trials
• Effective writing and communication skills to explain complex statistical concepts
• Experience with Bayesian modeling and analysis
• Experienced with SAS programming, R programming, and other statistical software

Pay

Pay ranges between $60–$69 per hour based on experience.