Biostatistician​/Manager of Statistical Training

Job Summary

The Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR employs over 60 statisticians and epidemiologists including Harvard faculty, research scientists, and staff. Investigators within CBAR have provided statistical leadership and support for clinical research networks for thirty-five years.

Currently this includes infectious disease networks such as:
Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (ACTG) and the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT). Results from studies have helped to establish the paradigm for the treatment and prevention of HIV and other infectious diseases, and contributed to international treatment and prevention guidelines.

CBAR has a hybrid work environment which includes a combination of on-campus/in-person work and remote work.

This position is located in the Center for Biostatistics in AIDS Research (CBAR) within the Harvard T.H. Chan School of Public Health in Boston, Massachusetts. Since 1989, CBAR and the Harvard T.H. Chan School of Public Health have provided a strong program for growth and professional development for its research staff – including a defined career path and opportunities for continuing education and attendance of professional meetings.

The Center for Biostatistics in AIDS Research (CBAR) is actively recruiting a Biostatistician/Manager of Statistical Training to act as a protocol statistician and will collaborate directly with medical researchers, senior statisticians, and epidemiologists on national and international infectious diseases clinical trials and observational studies. The primary focus will be on studies undertaken by IMPAACT. Duties include, but are not limited to, clinical trial and observational study review;

data collection forms design and review; stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior staff. This position will also serve on internal CBAR committees.

• Guidance, training, and review of supervisee’s assigned work
  • Communication with each senior statistician on specifics of the work assigned
  • Attend meetings between senior statistician and supervisee as needed
  • Provide training in the context of assigned tasks
  • Review of supervisee’s programs, output, and draft reports as needed
• Meet with supervises at least weekly and as needed to ensure their work proceeds efficiently
• Identify areas for training and provide the training or refer to Training Committee and other resources for assistance
• Work with Training Committee to identify where more central training is needed
• Coordinate work load/priorities for supervises with section/project leadership
• Complete annual performance reviews of supervises
• Take lead on career advancement decisions for supervises

• Clinical and observational study development and review
• Forms design and review
• SDTM modeling
• Study monitoring
• Development of analysis plans
• Development of ADaM analysis datasets, programming, analysis, and report writing

The Biostatistician/Manager of Statistical Training will also perform other duties as assigned.

PLEASE NOTE:

This position has a term end date of November 30, 2027, with strong likelihood of extension.

Basic Qualifications:

• Master's Degree in Biostatistics, Statistics, or a closely-related field required
• 5+ years of related experience required
• Experience with statistical software (such as SAS, R, Stata, etc.) required

Additional

Qualifications and Skills:

• Two-year Master's Degree (MA/MS) program
• Prior supervisory experience
• Statistical experience with multi-center clinical trials, or equivalent collaborative statistical experience
• Highly specialized and technical knowledge of statistical analysis and principles including…