Note: The job is a remote job and is open to candidates in USA. Sigma Systems is seeking an experienced Biostatistics Consultant to support statistical deliverables for an oncology clinical research program. The part-time consultant will review and finalize analysis datasets, validate analyses, conduct data quality checks, generate statistical outputs, and support publications while collaborating with cross-functional research teams.
Responsibilities
- Serve as the primary biostatistical resource supporting study closeout activities
- Review, validate, and execute statistical analyses for clinical trial data
- Review and finalize analysis datasets for accuracy and consistency
- Conduct data quality checks and identify potential data issues
- Provide statistical guidance to programming teams developing: + SDTM and ADaM datasets + Tables, Listings, and Figures (TLFs) + Statistical specifications and analysis outputs
- Perform quality control reviews of statistical programming deliverables
- Generate and interpret statistical tables, figures, and listings
- Apply advanced statistical methodologies to oncology clinical trial data
- Support statistical content development for publications and scientific communications
- Communicate complex statistical concepts clearly to technical and non-technical stakeholders
- Collaborate with cross-functional teams to address publication and analysis-related questions
- Provide data-driven insights and recommendations to project teams
Skills
- Master's or PhD degree in Statistics, Biostatistics, or a related quantitative field
- Clinical trial experience:
- + Approximately 3+ years for PhD candidates
- + Approximately 5+ years for MS candidates
- Strong understanding of statistical principles, clinical trial design, and modern statistical methodologies
- Experience applying statistical methods in oncology clinical trials
- Strong written and verbal communication skills
- Ability to explain complex statistical concepts, methodologies, and analysis plans to diverse audiences
- Experience with Bayesian modeling and Bayesian analysis
- Proficiency with statistical programming tools including:
- + SAS
- + R
- + Other statistical analysis software
- Experience with CDISC data standards including:
- + SDTM
- + ADaM
- Experience reviewing statistical programming specifications and outputs
- Experience supporting clinical publications and scientific manuscripts
- Strong attention to detail and commitment to data integrity
Benefits
- Remote work arrangement
- Part-time contract opportunity
- 6-month contract duration
Company Overview