A Statistician collects and analyzes data using the principles of statistics, for work in science, psychology, politics, marketing and manufacturing. Analyzes data and makes policy recommendations to government agencies that address economic, environmental and public health issues.
This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.
Biostatistics Consultant
The consultant will support statistical deliverables within SMPA's 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
Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.