SHIFT:

• The Biostatistician I is the entry-level position of the biostatistics career ladder. The role largely works under close supervision of teams that include a more senior statistician/manager and one or more biomedical domain experts. Management of this role is usually provided on a daily basis with emphasis on proper procedures and technical issues.
• Consults with team members to determine study design, conduct power calculations, identify appropriate variables and methods, format data, and identify and resolve data anomalies.
• Operates according to a statistical analysis plan that includes methods, programming procedures, variable definition, and data handling rules and procedures.
• Applies fundamental level of statistical programming to clean and interrogate data, view diagnostics elements of data such as underlying distributions and parameters, implement optimal statistical methods, interpret and export key visuals and results.
• Validates and documents methods such that both more senior statisticians and domain experts may understand and replicate.
• Provides analysis services for grant applications.
• Contributes to academic output of study teams by writing methods, results, and interpretation for manuscript publication, authors abstracts, and presents at professional conferences under the guidance of senior staff/manager.
• Recommends protocol, workflow, or data management changes based on results.
• Participates in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers
• Contributes to critical assessment of computational and algorithmic approaches to address assigned biomedical research questions.
• Tracks project activities for reporting and billing purposes.

• Bachelor's Degree Required
• Master's Degree Preferred

• Previous experience with progressively more complex applied statistics Required
• Previous applied experience in using one or more common statistical language programs Required
• At least three (3) years progressively more complex applied statistics Preferred
• At least three (3) years using one or more common statistical language program Preferred

• Familiarity in programming and application of common statistical methods in medical and clinical research, such as SAS, STATA, R or another commonly accepted analytical programming language.
• Strong verbal and written communications skills with the demonstrated ability to explain technical concepts to a lay audience.
• Detail-oriented with excellent validation and documentation skills.
• High level of personal initiative; ability to work independently as well as collaborate in teams and with people from multiple business and scientific areas.
• Familiar with UNIX and/or Windows OS.