Biostatistics Consultant The consultant will support statistical deliverables within the oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Essential Functions, Knowledge, and Skills

Lead Statistical Efforts:

Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses

Provide Technical Guidance:

Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed

Communication Skills:

Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences

Collaboration:

Proven ability to work effectively as part of a cross-functional team

Problem-Solving:

Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights

Statistical Expertise:

In-depth knowledge of statistical methods and their application in oncology clinical trials

Software Proficiency:

Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.

Data Standards:

Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specifications.

Quality Control:

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 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
• Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
• Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
• Experience with Bayesian modeling and Analysis
• Experienced with SAS programming, R programming and other statistical software Pay ranges between 60-69/hr based on experience