Sr. Advisory Biostatistician

Industry: Healthcare


Not Specified years

Posted 167 days ago

This job is no longer available.

Job Description


  • Applies knowledge of sophisticated statistical methods to advance pediatric clinical, basic and translational research.
  • Provides statistical support for all aspects of investigations, including the design and analysis of clinical trials.
  • Interacts and consults with scientists, clinicians, and trainees to ensure proper use of statistical methodology and interpretation of results. Programs statistical software (SAS, R) and may conduct research on statistical models and approaches.
  • Recognized by peers as expert in field, as evidenced by publications and invited presentations.
  • Conducts the most complex and vital work critical to the organization. May mentor less experienced peers, including fellows, junior faculty, resident, medical student, undergraduates, and research staff. Oversees all statistical contributions to grant applications.
  • Has experience with machine-learning techniques, including SVM and/or neural networks.


Works collaboratively with Principal Investigator and/or other members of research project staff in the following areas:

  • Design/development of complex research projects and grant applications
  • Analyze and publish findings from clinical/translational, health services, and basic science research.
  • Proposes sophisticated approaches to data analyses and statistical power/sample size estimation
  • As member of the Scientific Review Committee, reviews study protocols for research methodology, including design, questionnaire and instrument content, and statistical analysis
  • Responsible for publication- appropriate statistical analysis and interpretation of studies conducted by Connecticut
  • Children's investigators. Collaborates on abstract and manuscript preparation and revisions for research.
  • Serves as co-author as appropriate.
  • Develops quality standards and programs; monitors and ensures quality of statistical analysis in accordance with
  • Connecticut Children's policies and standards, IRB and State/Federal regulations.
  • Collaborates and works as a team with other research staff across the organization's research infrastructure.
  • Serves as a senior resource or mentor to Principal Investigators, nurses, research assistants, database managers, and research staff regarding research data analysis, interpretation, and presentation.
  • Maintains professional expertise through involvement in professional organizations and continuing education programs.
  • Demonstrates support for the mission, values and goals of the organization through core behaviors that are consistent with the Connecticut Children's Medical Center Standards.
  • Will supervise up to two Master's-level statisticians.. May supervise statistical analysis work done by students, fellows post doctoral scientists, and junior faculty.


  • Advanced biostatistical methods and procedures, including multivariable analyses and machine learning.
  • Sample-size and power calculations procedures
  • Research design, measurement principles, protocols, principles, and procedures
  • Experience working with large databases


  • Advanced skills in statistical analysis and statistical programming software
  • Project management, interpersonal and organizational
  • Excellent oral and written communication skills.
  • Demonstrated proficiency in Windows environment (as needed)


  • Work both independently and as a member of a project team.
  • Counsel and advise Principal Investigators and other members of a research team.
  • Supervise other team members.
  • Organize, analyze, evaluate, and interpret data.
  • Attend to detail, problem solve, be organized, and work in a fast-paced environment

Education and Experience

PhD in Biostatistics, with a record of successful publications; demonstrated ability to work effectively in a clinical and academic setting.
Terminal degrees in other statistical areas (e.g. applied statistics, epidemiology) may be substituted on a case-by-case basis. Five or more years of relevant experience post-PhD